{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ames房价数据探索\n",
    "Ames 房价预测是 Kaggle 平台上的一个竞赛任务，需要根据房屋\n",
    "的特征来预测亚美尼亚州洛瓦市（Ames，Lowa）的房价。其中房屋的特征 x 共\n",
    "有 79 维，响应值 y 为每个房屋的销售价格（SalePrice）。 评价标准为预测值的\n",
    "对数和观测值的对数的 RMSE(Root-Mean-Squared-Error )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# coding=utf-8\n",
    "#  导入必要的包\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>MSSubClass</th>\n",
       "      <th>MSZoning</th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>Street</th>\n",
       "      <th>Alley</th>\n",
       "      <th>LotShape</th>\n",
       "      <th>LandContour</th>\n",
       "      <th>Utilities</th>\n",
       "      <th>...</th>\n",
       "      <th>PoolArea</th>\n",
       "      <th>PoolQC</th>\n",
       "      <th>Fence</th>\n",
       "      <th>MiscFeature</th>\n",
       "      <th>MiscVal</th>\n",
       "      <th>MoSold</th>\n",
       "      <th>YrSold</th>\n",
       "      <th>SaleType</th>\n",
       "      <th>SaleCondition</th>\n",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>65.0</td>\n",
       "      <td>8450</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>208500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>80.0</td>\n",
       "      <td>9600</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>181500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>68.0</td>\n",
       "      <td>11250</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>223500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>70</td>\n",
       "      <td>RL</td>\n",
       "      <td>60.0</td>\n",
       "      <td>9550</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Abnorml</td>\n",
       "      <td>140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>84.0</td>\n",
       "      <td>14260</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>250000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 81 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Id  MSSubClass MSZoning  LotFrontage  LotArea Street Alley LotShape  \\\n",
       "0   1          60       RL         65.0     8450   Pave   NaN      Reg   \n",
       "1   2          20       RL         80.0     9600   Pave   NaN      Reg   \n",
       "2   3          60       RL         68.0    11250   Pave   NaN      IR1   \n",
       "3   4          70       RL         60.0     9550   Pave   NaN      IR1   \n",
       "4   5          60       RL         84.0    14260   Pave   NaN      IR1   \n",
       "\n",
       "  LandContour Utilities    ...     PoolArea PoolQC Fence MiscFeature MiscVal  \\\n",
       "0         Lvl    AllPub    ...            0    NaN   NaN         NaN       0   \n",
       "1         Lvl    AllPub    ...            0    NaN   NaN         NaN       0   \n",
       "2         Lvl    AllPub    ...            0    NaN   NaN         NaN       0   \n",
       "3         Lvl    AllPub    ...            0    NaN   NaN         NaN       0   \n",
       "4         Lvl    AllPub    ...            0    NaN   NaN         NaN       0   \n",
       "\n",
       "  MoSold YrSold  SaleType  SaleCondition  SalePrice  \n",
       "0      2   2008        WD         Normal     208500  \n",
       "1      5   2007        WD         Normal     181500  \n",
       "2      9   2008        WD         Normal     223500  \n",
       "3      2   2006        WD        Abnorml     140000  \n",
       "4     12   2008        WD         Normal     250000  \n",
       "\n",
       "[5 rows x 81 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dpath = './data'\n",
    "train = pd.read_csv(os.path.join(dpath, 'Ames_House_train.csv'))\n",
    "test = pd.read_csv(os.path.join(dpath, 'Ames_House_test.csv'))\n",
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>MSSubClass</th>\n",
       "      <th>MSZoning</th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>Street</th>\n",
       "      <th>Alley</th>\n",
       "      <th>LotShape</th>\n",
       "      <th>LandContour</th>\n",
       "      <th>Utilities</th>\n",
       "      <th>...</th>\n",
       "      <th>ScreenPorch</th>\n",
       "      <th>PoolArea</th>\n",
       "      <th>PoolQC</th>\n",
       "      <th>Fence</th>\n",
       "      <th>MiscFeature</th>\n",
       "      <th>MiscVal</th>\n",
       "      <th>MoSold</th>\n",
       "      <th>YrSold</th>\n",
       "      <th>SaleType</th>\n",
       "      <th>SaleCondition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1461</td>\n",
       "      <td>20</td>\n",
       "      <td>RH</td>\n",
       "      <td>80.0</td>\n",
       "      <td>11622</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>...</td>\n",
       "      <td>120</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MnPrv</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>2010</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1462</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>81.0</td>\n",
       "      <td>14267</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gar2</td>\n",
       "      <td>12500</td>\n",
       "      <td>6</td>\n",
       "      <td>2010</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1463</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>74.0</td>\n",
       "      <td>13830</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MnPrv</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2010</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1464</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>78.0</td>\n",
       "      <td>9978</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>2010</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1465</td>\n",
       "      <td>120</td>\n",
       "      <td>RL</td>\n",
       "      <td>43.0</td>\n",
       "      <td>5005</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>HLS</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>...</td>\n",
       "      <td>144</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2010</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 80 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Id  MSSubClass MSZoning  LotFrontage  LotArea Street Alley LotShape  \\\n",
       "0  1461          20       RH         80.0    11622   Pave   NaN      Reg   \n",
       "1  1462          20       RL         81.0    14267   Pave   NaN      IR1   \n",
       "2  1463          60       RL         74.0    13830   Pave   NaN      IR1   \n",
       "3  1464          60       RL         78.0     9978   Pave   NaN      IR1   \n",
       "4  1465         120       RL         43.0     5005   Pave   NaN      IR1   \n",
       "\n",
       "  LandContour Utilities      ...       ScreenPorch PoolArea PoolQC  Fence  \\\n",
       "0         Lvl    AllPub      ...               120        0    NaN  MnPrv   \n",
       "1         Lvl    AllPub      ...                 0        0    NaN    NaN   \n",
       "2         Lvl    AllPub      ...                 0        0    NaN  MnPrv   \n",
       "3         Lvl    AllPub      ...                 0        0    NaN    NaN   \n",
       "4         HLS    AllPub      ...               144        0    NaN    NaN   \n",
       "\n",
       "  MiscFeature MiscVal MoSold  YrSold  SaleType  SaleCondition  \n",
       "0         NaN       0      6    2010        WD         Normal  \n",
       "1        Gar2   12500      6    2010        WD         Normal  \n",
       "2         NaN       0      3    2010        WD         Normal  \n",
       "3         NaN       0      6    2010        WD         Normal  \n",
       "4         NaN       0      1    2010        WD         Normal  \n",
       "\n",
       "[5 rows x 80 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 由于测试集中没有目标值（SalePrice），所以，我们只用训练集来做。从其中划分一部分出来作为检测模型的测试集\n",
    "##### 下面看看缺失值有多少"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Null Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>PoolQC</th>\n",
       "      <td>1453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MiscFeature</th>\n",
       "      <td>1406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alley</th>\n",
       "      <td>1369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fence</th>\n",
       "      <td>1179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FireplaceQu</th>\n",
       "      <td>690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LotFrontage</th>\n",
       "      <td>259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageCond</th>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageType</th>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageYrBlt</th>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageFinish</th>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageQual</th>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtExposure</th>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinType2</th>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinType1</th>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtCond</th>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtQual</th>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MasVnrArea</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MasVnrType</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Electrical</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utilities</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Null Count\n",
       "PoolQC              1453\n",
       "MiscFeature         1406\n",
       "Alley               1369\n",
       "Fence               1179\n",
       "FireplaceQu          690\n",
       "LotFrontage          259\n",
       "GarageCond            81\n",
       "GarageType            81\n",
       "GarageYrBlt           81\n",
       "GarageFinish          81\n",
       "GarageQual            81\n",
       "BsmtExposure          38\n",
       "BsmtFinType2          38\n",
       "BsmtFinType1          37\n",
       "BsmtCond              37\n",
       "BsmtQual              37\n",
       "MasVnrArea             8\n",
       "MasVnrType             8\n",
       "Electrical             1\n",
       "Utilities              0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nulls = pd.DataFrame(train.isnull().sum().sort_values(ascending=False)[:20], columns=['Null Count'])\n",
    "nulls"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 接下来查看一下各个特征的信息，是数值型还是object类型的"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1460 entries, 0 to 1459\n",
      "Data columns (total 81 columns):\n",
      "Id               1460 non-null int64\n",
      "MSSubClass       1460 non-null int64\n",
      "MSZoning         1460 non-null object\n",
      "LotFrontage      1201 non-null float64\n",
      "LotArea          1460 non-null int64\n",
      "Street           1460 non-null object\n",
      "Alley            91 non-null object\n",
      "LotShape         1460 non-null object\n",
      "LandContour      1460 non-null object\n",
      "Utilities        1460 non-null object\n",
      "LotConfig        1460 non-null object\n",
      "LandSlope        1460 non-null object\n",
      "Neighborhood     1460 non-null object\n",
      "Condition1       1460 non-null object\n",
      "Condition2       1460 non-null object\n",
      "BldgType         1460 non-null object\n",
      "HouseStyle       1460 non-null object\n",
      "OverallQual      1460 non-null int64\n",
      "OverallCond      1460 non-null int64\n",
      "YearBuilt        1460 non-null int64\n",
      "YearRemodAdd     1460 non-null int64\n",
      "RoofStyle        1460 non-null object\n",
      "RoofMatl         1460 non-null object\n",
      "Exterior1st      1460 non-null object\n",
      "Exterior2nd      1460 non-null object\n",
      "MasVnrType       1452 non-null object\n",
      "MasVnrArea       1452 non-null float64\n",
      "ExterQual        1460 non-null object\n",
      "ExterCond        1460 non-null object\n",
      "Foundation       1460 non-null object\n",
      "BsmtQual         1423 non-null object\n",
      "BsmtCond         1423 non-null object\n",
      "BsmtExposure     1422 non-null object\n",
      "BsmtFinType1     1423 non-null object\n",
      "BsmtFinSF1       1460 non-null int64\n",
      "BsmtFinType2     1422 non-null object\n",
      "BsmtFinSF2       1460 non-null int64\n",
      "BsmtUnfSF        1460 non-null int64\n",
      "TotalBsmtSF      1460 non-null int64\n",
      "Heating          1460 non-null object\n",
      "HeatingQC        1460 non-null object\n",
      "CentralAir       1460 non-null object\n",
      "Electrical       1459 non-null object\n",
      "1stFlrSF         1460 non-null int64\n",
      "2ndFlrSF         1460 non-null int64\n",
      "LowQualFinSF     1460 non-null int64\n",
      "GrLivArea        1460 non-null int64\n",
      "BsmtFullBath     1460 non-null int64\n",
      "BsmtHalfBath     1460 non-null int64\n",
      "FullBath         1460 non-null int64\n",
      "HalfBath         1460 non-null int64\n",
      "BedroomAbvGr     1460 non-null int64\n",
      "KitchenAbvGr     1460 non-null int64\n",
      "KitchenQual      1460 non-null object\n",
      "TotRmsAbvGrd     1460 non-null int64\n",
      "Functional       1460 non-null object\n",
      "Fireplaces       1460 non-null int64\n",
      "FireplaceQu      770 non-null object\n",
      "GarageType       1379 non-null object\n",
      "GarageYrBlt      1379 non-null float64\n",
      "GarageFinish     1379 non-null object\n",
      "GarageCars       1460 non-null int64\n",
      "GarageArea       1460 non-null int64\n",
      "GarageQual       1379 non-null object\n",
      "GarageCond       1379 non-null object\n",
      "PavedDrive       1460 non-null object\n",
      "WoodDeckSF       1460 non-null int64\n",
      "OpenPorchSF      1460 non-null int64\n",
      "EnclosedPorch    1460 non-null int64\n",
      "3SsnPorch        1460 non-null int64\n",
      "ScreenPorch      1460 non-null int64\n",
      "PoolArea         1460 non-null int64\n",
      "PoolQC           7 non-null object\n",
      "Fence            281 non-null object\n",
      "MiscFeature      54 non-null object\n",
      "MiscVal          1460 non-null int64\n",
      "MoSold           1460 non-null int64\n",
      "YrSold           1460 non-null int64\n",
      "SaleType         1460 non-null object\n",
      "SaleCondition    1460 non-null object\n",
      "SalePrice        1460 non-null int64\n",
      "dtypes: float64(3), int64(35), object(43)\n",
      "memory usage: 924.0+ KB\n"
     ]
    }
   ],
   "source": [
    "train.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>MSSubClass</th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>OverallQual</th>\n",
       "      <th>OverallCond</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>YearRemodAdd</th>\n",
       "      <th>MasVnrArea</th>\n",
       "      <th>BsmtFinSF1</th>\n",
       "      <th>...</th>\n",
       "      <th>WoodDeckSF</th>\n",
       "      <th>OpenPorchSF</th>\n",
       "      <th>EnclosedPorch</th>\n",
       "      <th>3SsnPorch</th>\n",
       "      <th>ScreenPorch</th>\n",
       "      <th>PoolArea</th>\n",
       "      <th>MiscVal</th>\n",
       "      <th>MoSold</th>\n",
       "      <th>YrSold</th>\n",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1201.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1452.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>730.500000</td>\n",
       "      <td>56.897260</td>\n",
       "      <td>70.049958</td>\n",
       "      <td>10516.828082</td>\n",
       "      <td>6.099315</td>\n",
       "      <td>5.575342</td>\n",
       "      <td>1971.267808</td>\n",
       "      <td>1984.865753</td>\n",
       "      <td>103.685262</td>\n",
       "      <td>443.639726</td>\n",
       "      <td>...</td>\n",
       "      <td>94.244521</td>\n",
       "      <td>46.660274</td>\n",
       "      <td>21.954110</td>\n",
       "      <td>3.409589</td>\n",
       "      <td>15.060959</td>\n",
       "      <td>2.758904</td>\n",
       "      <td>43.489041</td>\n",
       "      <td>6.321918</td>\n",
       "      <td>2007.815753</td>\n",
       "      <td>180921.195890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>421.610009</td>\n",
       "      <td>42.300571</td>\n",
       "      <td>24.284752</td>\n",
       "      <td>9981.264932</td>\n",
       "      <td>1.382997</td>\n",
       "      <td>1.112799</td>\n",
       "      <td>30.202904</td>\n",
       "      <td>20.645407</td>\n",
       "      <td>181.066207</td>\n",
       "      <td>456.098091</td>\n",
       "      <td>...</td>\n",
       "      <td>125.338794</td>\n",
       "      <td>66.256028</td>\n",
       "      <td>61.119149</td>\n",
       "      <td>29.317331</td>\n",
       "      <td>55.757415</td>\n",
       "      <td>40.177307</td>\n",
       "      <td>496.123024</td>\n",
       "      <td>2.703626</td>\n",
       "      <td>1.328095</td>\n",
       "      <td>79442.502883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>1300.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1872.000000</td>\n",
       "      <td>1950.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2006.000000</td>\n",
       "      <td>34900.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>365.750000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>7553.500000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1954.000000</td>\n",
       "      <td>1967.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2007.000000</td>\n",
       "      <td>129975.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>730.500000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>69.000000</td>\n",
       "      <td>9478.500000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1973.000000</td>\n",
       "      <td>1994.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>383.500000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2008.000000</td>\n",
       "      <td>163000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1095.250000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>11601.500000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>2004.000000</td>\n",
       "      <td>166.000000</td>\n",
       "      <td>712.250000</td>\n",
       "      <td>...</td>\n",
       "      <td>168.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>2009.000000</td>\n",
       "      <td>214000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1460.000000</td>\n",
       "      <td>190.000000</td>\n",
       "      <td>313.000000</td>\n",
       "      <td>215245.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>2010.000000</td>\n",
       "      <td>2010.000000</td>\n",
       "      <td>1600.000000</td>\n",
       "      <td>5644.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>857.000000</td>\n",
       "      <td>547.000000</td>\n",
       "      <td>552.000000</td>\n",
       "      <td>508.000000</td>\n",
       "      <td>480.000000</td>\n",
       "      <td>738.000000</td>\n",
       "      <td>15500.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>2010.000000</td>\n",
       "      <td>755000.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Id   MSSubClass  LotFrontage        LotArea  OverallQual  \\\n",
       "count  1460.000000  1460.000000  1201.000000    1460.000000  1460.000000   \n",
       "mean    730.500000    56.897260    70.049958   10516.828082     6.099315   \n",
       "std     421.610009    42.300571    24.284752    9981.264932     1.382997   \n",
       "min       1.000000    20.000000    21.000000    1300.000000     1.000000   \n",
       "25%     365.750000    20.000000    59.000000    7553.500000     5.000000   \n",
       "50%     730.500000    50.000000    69.000000    9478.500000     6.000000   \n",
       "75%    1095.250000    70.000000    80.000000   11601.500000     7.000000   \n",
       "max    1460.000000   190.000000   313.000000  215245.000000    10.000000   \n",
       "\n",
       "       OverallCond    YearBuilt  YearRemodAdd   MasVnrArea   BsmtFinSF1  \\\n",
       "count  1460.000000  1460.000000   1460.000000  1452.000000  1460.000000   \n",
       "mean      5.575342  1971.267808   1984.865753   103.685262   443.639726   \n",
       "std       1.112799    30.202904     20.645407   181.066207   456.098091   \n",
       "min       1.000000  1872.000000   1950.000000     0.000000     0.000000   \n",
       "25%       5.000000  1954.000000   1967.000000     0.000000     0.000000   \n",
       "50%       5.000000  1973.000000   1994.000000     0.000000   383.500000   \n",
       "75%       6.000000  2000.000000   2004.000000   166.000000   712.250000   \n",
       "max       9.000000  2010.000000   2010.000000  1600.000000  5644.000000   \n",
       "\n",
       "           ...         WoodDeckSF  OpenPorchSF  EnclosedPorch    3SsnPorch  \\\n",
       "count      ...        1460.000000  1460.000000    1460.000000  1460.000000   \n",
       "mean       ...          94.244521    46.660274      21.954110     3.409589   \n",
       "std        ...         125.338794    66.256028      61.119149    29.317331   \n",
       "min        ...           0.000000     0.000000       0.000000     0.000000   \n",
       "25%        ...           0.000000     0.000000       0.000000     0.000000   \n",
       "50%        ...           0.000000    25.000000       0.000000     0.000000   \n",
       "75%        ...         168.000000    68.000000       0.000000     0.000000   \n",
       "max        ...         857.000000   547.000000     552.000000   508.000000   \n",
       "\n",
       "       ScreenPorch     PoolArea       MiscVal       MoSold       YrSold  \\\n",
       "count  1460.000000  1460.000000   1460.000000  1460.000000  1460.000000   \n",
       "mean     15.060959     2.758904     43.489041     6.321918  2007.815753   \n",
       "std      55.757415    40.177307    496.123024     2.703626     1.328095   \n",
       "min       0.000000     0.000000      0.000000     1.000000  2006.000000   \n",
       "25%       0.000000     0.000000      0.000000     5.000000  2007.000000   \n",
       "50%       0.000000     0.000000      0.000000     6.000000  2008.000000   \n",
       "75%       0.000000     0.000000      0.000000     8.000000  2009.000000   \n",
       "max     480.000000   738.000000  15500.000000    12.000000  2010.000000   \n",
       "\n",
       "           SalePrice  \n",
       "count    1460.000000  \n",
       "mean   180921.195890  \n",
       "std     79442.502883  \n",
       "min     34900.000000  \n",
       "25%    129975.000000  \n",
       "50%    163000.000000  \n",
       "75%    214000.000000  \n",
       "max    755000.000000  \n",
       "\n",
       "[8 rows x 38 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 通过查看SalePrice的四分之一分位数和四分之三分位数可以看到价格集中分布在129975-214000这个区间，然后我们可以看看价格的分布情况，以及偏度（skewness），通常skewness越趋于0越好，当偏度为0的时候，分布就为正态分布，两侧尾部长度一样。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-8-1c6cafb282d7>, line 4)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-8-1c6cafb282d7>\"\u001b[1;36m, line \u001b[1;32m4\u001b[0m\n\u001b[1;33m    print 'The skewness is :', train.SalePrice.skew()\u001b[0m\n\u001b[1;37m                            ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(train.SalePrice, bins=30, kde=True)\n",
    "plt.show()\n",
    "print 'The skewness is :', train.SalePrice.skew()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 这里的偏度为1.88，所以数据出现了偏斜（分布右侧有个较长的尾部，所以分布属于正向偏差），则可以通过取对数来对目标变量进行对数转换以此来改善数据的线性度，让偏斜度更加趋近于0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-9-f30379e9c25d>, line 5)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-9-f30379e9c25d>\"\u001b[1;36m, line \u001b[1;32m5\u001b[0m\n\u001b[1;33m    print 'The skewness is :', target.skew()\u001b[0m\n\u001b[1;37m                            ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "target = np.log(train.SalePrice)\n",
    "sns.distplot(np.log(target), bins=30, kde=True)\n",
    "plt.show()\n",
    "print 'The skewness is :', target.skew()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 接下来准备看看两两特征之间的相关系数，相关系数只计算数值类型的，所以先把数值类型的和object类型的分开。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "numerical_feature = train.select_dtypes(include=[np.number])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "object_feature = train.select_dtypes(exclude=[np.number])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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FdzJqVWHrGVf+aqX/b7Q1FL+vVVVe1aL2WfjqpapDqJXUhNr14Jye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\nSpUKlNfK0rtvd9xc9cdr3V29+WyQ5hBHx15d8DmlqZtu9p9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4Oyl3ywvfN3ficvdh7n1S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mhIa+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l/nV19kzW0LN3sML5kLv699x/5KLfoO4sW7wuXXriqFm3Gs+fvCDkWSg/vv/gxFEfjC2ba/gJ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hOpdL5842XL7sx7VrATn2pe3bV3LtWgABAUcz9aU9PHlynT/+mK91jYGBAStXLuHKFX/C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\nJZbp8ndwtGPHznV8NWICjx8/1V6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eqQzo350lS1frlIWtbQkuXfDA0rIwKSkyY8d9Sf16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27raZEkai4byq2lBz/5iEKVLKi+cCA3Zu/KvA5tWqmlpM6Xy/udWd9iGg5rD9N6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\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iT2HL3C0s2bsEqUyKy2EX3vq+ZWDqs7ntepsKNSsw96+55C+Yn0ZtGzFw0kBGtx2NTF/G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jWlr2a8/t094AlC5vyZvnrxi9fgpzji2nj+MgJIXh5uxz1Hv6fN2nGwf2Hc2cFqvShIdH6WmJ\nTqPFwrK0Tu+H8mRurilPZcvZcOrcvxw+to2mzdIOBJiaFaHTl205d+ZSpvR8oLBFMZ5HJtcrLyLj\nKGKRdul5/cEdGHX2F9o6foPHXGcAjAvmp9no7pxfddCgOD+GiYU5r/XyzevIOApaptRTrGY5TKyK\nE+HpnWPxpkdxi+LE6JWnmMgYin8kD+sT5B9Ew7YNyV8gP6bFTKndvDYlDOxUyW2/ISMKWJjzVi+N\n3kXEkj9Vnilc05YCVsWJ9biZ4rpJBSuQZerunkkjj2WU/SnttiyGUNKiBNERyZ0e0QbYAkmSmDj3\nJ1YvXJctDVZWFoSF66dTFFZWqdOptC6MSqXi2SdsZdDDECpXqUDZstYolUrs7TtibZNyi7lPYag9\naN2vPbe09kCSJL6ZPYQ9S5wNijMzaMpVsv2O/US56ti/Eze8DJvt/DFKWZQkKlzPZkc+obQB/kNO\nU8qyJFF6PsSTyKdZ0lOzXjWMjY15HJL1QegiFuY8i0wu288zsAcNB3dk7Nlf6eD4LSfmbtVdt65b\ngVEePzPKbRnHZm36rKs9Pjd5yX/4GGali/FMrz5+FhmLaem0adZsUEemn1lF1xnfcWTe1jT3s0pe\nasPpk9v1TAnLEjyJTI7/aVSMwT4AQNsebTh5yMvg5z5XGw7gr/UruHTZlekzxmVaj7WVJWGPU9lJ\na8tUYZJ9Ho2dfP7JrZCyS3GLEjzVyycxkTGUyOSEsLs37+F76Ra7ru9g140d3Dhzk8cPHn/6QT0s\nLEsRqWePoiKi09T/pfVslkql4uXzlxQzL8q92wF0+LINSqUSm7JW1KxTLcXkp2Wr53HEayc/OWS8\nw4GVtQWPw5LzSVh4ZFr/RS+MSqXi2TNNulhZpfNsKh81Nd27dyQ8PJJbtz69kjQv9V3l1T6R/Bbm\nvEvjj6esfwvXtCW/VYk0/rg+pXs2EwMfgv/z5KWBj4LaAQQfSZL+zSBMA6CnLMvfAcOBZ7IsNwIa\nASMlSfpwYEFjYDJQC6gApLfe/HtZlhsADYHxkiQVlySpJPA30FuW5TrAh7Wls4BT2rjaAiskSSoE\njAJ+l2W5rvY9H1+T9xEkKe211CPdUjqB9MNUq1aJRYtmMHas438a/4xZ41m3ZjOvXqWc4WZkpKRO\n3Rps3riTNi178vrVGyY6/JgFbR//u/Vp3KsV5WqXx2PDkRTXTUsWxapK2ewvkU7/Q31Ui+fn0pIp\nbSnvN543kOsLduZQdJlIl0zk2YWLZjBu3EwAateuTvkK5XA5kvWzPTKINsN0So9ejfox7Msfcfpp\nIZPmj8W6nGEdSinFpCOF/2CqY3oYUJaa9foC29oVOL7hsO7alOY/sqDHdP4av4rvnIZRsqxhqwc+\nISXDNGrSqxW2tcvjpi1LCqWSio2qsW+xM4t7zKBE2VK06NMmRzRkt977gLGxMV26tuPwv8czqeXT\naZNRmOioJ9Sr0ZZ2rb5izqxlrN/4C4WLFNKFUSqVbPjnVzau30ZoiGFmSkonA6eXTDedPVn/xWS8\nlu2mxTjNllutHL7m6sYTJL42bCbiJwSlRV+QJFFv3kC85+/IuTgzkmJAeUqN9zlvrp26xsp/VzJ9\nzXTu3biH2sBOwNz2GwwSlup+5QWDCZy3Le0tpYKiTapyZ8wf3OjhRKmujSjWqmY2pGQ9jfoM/YoL\npy6nGDj5XBoyk04LFk1n/LhZACQkPGfihDls3bYGd8+9hIaGo0oybEswQ75Nc609cNXag/aDunDL\n6yZxep3gOUYm8vUHWn/Vhoq1K/LvXwdyLvp0v0uOvd5gMlPOP0WJUsVZ/IcTThM/PYvWYNJ533Vn\nD9Z84cDJZbtpNS55C8Zwn4es7zidjT3m0HJMD5TZPL8nN8lL/oPhQtNeurTNg59bT8R12U7ajcv+\n1qrJ0eehNlwKXWmvZaSrjbaeOZiT9Uy6vpVhZdO8lDnlq9px7cx1w+P/DG04gO+/n0Djxl3o2KEv\nLZo34rvvMrflX074M58DA5r9abCytaRMxTIMaDyI7xoNpE7zOtRsYqA/kw3/Yf/OI0RFRPOv5zZm\nLZrMzWu+JCWpAM02V91b9+fb7iNo2LQevfp1yyD6rMZveHoVLFiAmTPGM29+5rYmzEt9V3m2TyS9\nOEnZZqq0YAgP5mU8icW0fkVUb97z6p5hg3YCQV4jL20Z9UY7gPAxjsiy/GE9biegtiRJH04jMwMq\nAe+Bq7IsBwFIkrQLaAnsT/Wu8ZIkffDsymifLQmclWU5GECW5Q/TXDsBPSRJ+rC5fQGgLHAJmCVJ\nkg1wUJblNOuVtatJfgAwMjLHyKhwun9YeHgUNjbJMxusrS2J0JvhpQkTiY2NFeHhUSiVSkxNixAX\nl6ANb8GePRsYMcKB4OBHGEpERBTWejMrrKwt0iwNjQiPwtrGgogIbfxmhYmPS6BBwzr06NmFeQun\nYWZmilqt5u3bdxw5dIKI8ChuXNc4qocPn8jSwEd8VCzFrJJnVxSzLM6zJ/FpwlVtUYsuY7/it/7z\nSHqfsgOgQfdm+LhdRa01+FklIZNaqmi1/JqBFt8c0JKa15FxFLJKHsUvZGnO6+hkbcaFC1C0qg1d\n9ms6TgqWNKP9ZgdODvuV2FvBad73KcLDo7CxTh4QsLa21C3V/ECENkxEOnnWytqCXbv/YqRenm3c\npD716tXC/+55jIyUlCxZnOMndvNll/T3Xs+IJ5FPKWWVPCOmlGVJnkZl/mifmGhNZ07Eo0huXvSh\ncs1KhIdmbbuB6MgnKWZ9lLYqxRMDtOQk8VGxmFvpHRBuaU7Ck7g04aq3qE33sb1Z1n9OivyboM3r\nTx9Hc+/yHcrVsOPpo+g0z2dOSxzmKcpS+lqqtahFt7Ffs6L/XJ2WhKhYHvsHE/NYk9983K9Rvl4l\n2GuYhs9R723csB2ADp2+4JaPP0+fZq5jMCI8KsVsfSvr0mm0RGr1RkZE68pTvHap+Pv3mn9v+dwh\nJPgRFSra4et9G4Bff19I0MMQ/lpn+CzOF1FxmFom1ytFLM15GZ22zvuA/5HLdF40TPM31K1IlS8b\n09bxGwqYmiDLMqp3idzY6mGwjg+8jozDRC/fmFia8yYqebm8pp4rQ7sDswFNPddqy2TODf2FuCzU\ncx8jJjKGEnrlqYRlCeLSycMZsWfNHvas2QPAtNXTCA82bCZ2bvsNGfE2MpYCemmU36o476KS84yy\ncAEKVS1D/YNOAOQrVZQ6zlPxHbyCd5FxxF/0JzFOs7VAjKc3RWrZEX/udpa0PIl8SmmrUrrfS1uW\nJCaT9W/tBjWo26Q2fYb0wqRQQYyMjXnz6g1rlvxlkIbw8EhsrPXTyYLIyNTpFIWNtaXOVpqlspU7\nd//FDyMmp0in464nOe6qOUth2PffolIZ5lPEGWAP7Mf2ZomePahQvzJVGlWj3aAuFDApgJGxEW9f\nv2Xfz9sN0pAesZGxlNCz38UzKFd1Wtah79j+zOo3I42flR2iI59goTcrtrRlKZ5EPf3IE5+X6Iin\nWOj5EKUsSxrkQxQqbMKa7StZ8/MG/G7eyZaWF1FxmFkml21TS3NeRGe8dcvtI5foumgYkLLMxDyI\nIPHNO0pVtiHSL2fr5f+KvOQ/fIxnUXGY6dXHZpbFeZ5Ou+UDvi6X+GrR8AzvG0peasPpE2NAPdNv\nbH8cc7ieeRr5lFJ6M/dLWpQgNsqw9G5r35rzJy6gysJ3+RxtOEC3wv3ly1fs3XuEBg3rsHPnp1f9\nhoVHYlMmlZ2MiEobxsaS8PBIrZ001en5XMRExlBSL5+UsCxBbHTm0ql55+bc877HW+1s/ete16lW\nryq3r2Ten4mKiE6xSsPCqnSa+j9Ka7OiIp+gVCopbFqYhPhnACyZk3wm155jmwgN0qRVtNamvXr1\nGpeDJ6hdvwaH9h5LE394WCRl9FaT2lhbpvVftGF06WJmSlxcPOHh6TwbkXGbsUIFW2xty3LzuqaN\nYGNjybUrbjRr0Y03Ca/ShK37BnkAACAASURBVM9LfVd5tU/kXWQs+VP54+/T8cfrHZwLaPzx2s7T\nuDV4OS98gwAo1auFWO2RS/zfXRObN8lLKz4yg36tJwHj9M4EsZNl+cMJcKmHk1P8LklSG6AD0Ey7\nssMbzWCGlM6zH+LqrRdXWVmW78qyvBPoAbwB3CRJapf6QVmWN8iy3FCW5YYZDXoAXL/uS8WKdpQr\nVwZjY2P69rXn2LGUnUPHjnkyYIDm4Kyvv+7KmTOaQyzNzEw5eHAzTk7LuXTJ8FkfADdv+FG+gi1l\ny9lgbGzM1727ceLYyRRhjrue5BvtzI2evbpw7sxlALp1/o66NdtSt2Zb1q/dwm+/rGfjhu08eRJD\neHgkFStpFuK0bt2M+/cMP1A71PchpWwtKW5TEqWxkob2zbnlkfLvtKlhy3dLRrJuxHJexD5P845G\nPVpw3SX7lXZqLQ0+oeVlOloa5pCW1MT4BGFqZ0HhMiVRGCux69mUx+7JyxYTX7xhd63R7G86if1N\nJ/H05sMsD3oA3LjhS4WKtpTT5pk+fdLJs64eDBioybNffZUqzx7YzFyn5Vy+nLx0fOPf26lYoQnV\nq7WkQ/u+PAgMNnjQA+Cuz33K2NlgWcYCI2MjOvZsxzn3zB36WsSsMMb5NLMQzczNqN2oJsF6h4ga\nym3vu5QtXwbrspYYGxvRtVdHvNwyf7h0ThLs+4BStpaUsCmF0tiIxvYt8U6Vf8vWsGPIkh9ZPWJZ\nirJkYloIo3yasfLCxYpQqUFVIgKzvMiNkFRaGtm3wDeVljI1bBm45AfWjPg5hZZg34eYmBWisLkp\nAFWb18ySls9R732gd5/uHNif+W0qvG/6YaenpdfX3TjheipFmBOup+j/nWa83r5XZ86f1WgpXrwY\nCu1WX+VsbShfwZbQEM3MHMfZEzE1K8ysGUsM+TQ6InyDKGZngZm2Xqlm35TAVMuhi9kmN8oqtqtL\nfIimsbq970LWtZzEupaTuLbJjYt/HsnWoAdAnE8QRewsKKTVU7ZnU8Lck+uQxBdvOFhzFC5NJuLS\nZCIxNx98lkEPgADfAKzsrChdpjRGxkZ8Yf8Flz0uZ+pZhUJBkaKavedtq9piW82Wm2czXmaeHrnt\nN2TEC++HmJS3oEDZkkjGSkr3ak6MW3IcqhdvOFd9JBcbjeNio3E8vxGI7+AVvPANItbLl8LVy6Eo\nmA9JqaBY8+q8Csh6PePvc4+ydjZYlbHU2oL2nHXPnP2dM3Yh9o360rNJf35fsBbX/W4GD3oA3Lhx\nK42tdD3mmSKMq6unnq38kjPaLenMzIpw4MAm5qWylQAlS2oas0WLmjLyh4Fs3bLHIF3Bvg8orVcH\nN8nAHgxb8iOrUtmDvyb+jkOLUUxpOZrdS5y5cPBMjgx6AAT6BmBpZ0UpbblqZf8FVz2upAhjV6M8\no5eOZfHwhTyLfZYj8X7Az9ufcuXLYF3WSmOzv+qEl1vWDsbNCe743KVseRusy2rycJdeHTjjfj5T\nzxoZG/Hb5mW47DuOh4vh2+GkJtw3CHM7C4pq698a9k0J8EiZL8317EHldnWJ09qDomVKIik1dsrM\nugTFy1uSEJZ7A0rZJS/5Dx8jzPchJWwtKKZtt9Sxb4Z/qjQrYZs86aJqu3rEhkSlfk2WyUttOH0C\n07HfqeuZ8jXK89PSsSz8DPXMPd/7WNtZY6Ftp7Tr2YaLHoZtRdquZ1tOHs5auf4cbTilUqnbusfI\nyIguX7bD3z+AzPDBn7G11fgz/fr15OjRlHqOHvVg0CDNZhy9v+7G6dOfvzP2vm8A1rbJ+aRNj9aZ\n9vOeRjyldpNaKJQKlEZKajWtxSMDt7ry8/bH1q4MNlp71K1XJ06eOJMizMkTZ/i6f3cAuti35/J5\nzZlkBQoW0B3M3aJ1E1QqFQ8CglEqlRQz15z1ZGRkRNtOLQm8+zDd+K9d90mTLi5H3VOEcTnqnpwu\nvbvhpU0Xl6Pu9OvXU3MumW0ZKla04+q1jLegvX37HlY2dahYuSkVKzclLCySRk06Ex2dvp3IS31X\nebVPROOPW+r88VLp+OPnq4/gUqOxXGo0luc3AlMMeiBJlLJvSvQhMfAh+L9PXlrxYShuwGhJkk7J\nspwoSVJl4MN0ycbaba9Cgf7AhlTPmgHxsiy/liSpKvDhlKpLwJ+SJNnJshwsSZK5dtWHGzBOkqRx\nsizLkiTVk2XZW5Kk8kCQLMurtf+vDZwiC6hUKiZNcsLFxRmlUsnWrXu5ezeQOXMcuHnzFseOebJl\nyx42bfqN27fPEB+fwKBBYwEYNWoIFSrYMmPGOGZo99O0tx9k0EwhlUrFtCnz2X9oE0qFkh3b9nPv\n3gMcZ03A29uPE66n2O68j/V/r+S6jyfx8QmMGDbpk++dPmUhf238hXz5jAkJeczY0TMM/jZqlZrd\nTpsY5zwLhVLBxb1eRAaG0X1SPx75PeSW5w16Ow4kv0kBRq51ACA+PIZ1I5cDYG5TkmKWJQi8/On9\nIjOjZY/TJsZqtVzS0xLq9xA/zxt8rdUyQk/L+s+gJTWySs3l2VvpuHMakkLBgz1nSAgIp+6U3sT6\nBvP4I3s3ZgWVSsVkBycOH9HkWWdnTZ6dPWcSN2/64XrMk61b9rLxn1+55Xea+PgEhgzW5M8fRw2m\nfIVyzHAczwzH8QD0MDDPfkrbylm/8/vOFSiUCo7uPk5wQAgjpw7jnu99zrlfpFqdKvz8zyKKFC1M\ny47NGDllKN+1HYZtpXJM/3kyslqNpFDg/OdOQgJDs6VlseNKNuxejUKp4N9dLjy8H8zYaT9wx/cu\nXm7nqFm3Gr9vXo5p0SK06dSKn6aOpGfrbwFwPvwXdhXLYVKoICe9XXCatIgLp698Itb0UavU7HDa\nyGTnOSiUCs7tPUVE4GN6TfqGEL8H+Hhep5/jYPKbFGDM2skAxIbHsHrkMqwq2jBkyY+oZRmFJHFs\n3b9EPMh6h6RapWan0z9MdJ6FpFRwYa8XEYFh9JjUn1C/h/h6XqeP4yAKmBRglJ6WP0f+jKxWs2/x\nNibvcAJJ4tHtIM7tPvmJGNPyueq9ggUL0KZdCyZNmGOQFscpC9h7cCMKpZJd2w9w/94Dps8cj4/3\nbdyOn2LHtv2s3bCCq97uxMc/44fvNVqatWjE9JnjSUpSoVarmDJpLgnxz7C0Ko3D1NEE3H/IqbOa\nHST/+Xs7251TL4DMGFmlxsNpK984T0NSKri19wwxgeG0cuhN5K1gHnjepMGQTti2rIE6UcXb5684\n6mB457Aheq7P2kKbndORlAqCdp/heUA4tab2Js43mHD3j9dz9ldWYVy4IIp8Rth0bojXt8t4Hpi1\nPe/VKjXr5qxj0bZFKJQK3Pe48yjgEQMdBhLoF8gVjytUql2JOX/PobBZYZp0aMJAh4GM7jAapbGS\nFQdWAPD6xWtWTlhp8FZXn8tvWLzYkf79e2JiUpAHDy6zefNuFi9elWldskrNfcdN1Ns9E5QKIned\n5tX9MMpP68tz3yBi3DLeJz3p2Sserz9KoxOagbpYT29is3FWi0qlYvmsVazeuRKlUsGR3a4EBYTw\n49Tvuet7n7PuF6hepyrL/1mEadEitOzYnB+nfE//tkOyHGd6GiY7zOXQEWeUSgXbnPelYyv3sPGf\n3/D18yI+/hlDdbZyCOUrlGO64zimO2qu9bQfzNOnsSxf4UStWtUAWLZ0NQ8eGDa4p1ap2ea0kala\ne3B27ynCAx/zldYeeHte5xutPfhJWwfHhcewauSyHPs2GenaMGc987YtQKFUcHKPB48DHvGdwwAe\n+AVy1eMqw2Z9T0GTAkxbp/EpYyKesnj4whyJX6VSsWjGCjbu0djsgztdeHA/iHHTf+C2T7LN/mPL\nckzNTGnbqRXjpv2A/ReaDoltRzZQXmuzvXxcmD1pMRe8MtdRlpGepTN/Zd2u31AolRzadZSH94MZ\nM20Ed3zuccb9PDXqVuO3TUsxLVqE1h1bMmbqcL5uPZDOPdpTv2ldzIqZ0qN/VwCcJizm/p30D9T+\nFLJKzXGnLQxw1tS/PnvP8DQwnDYOvYm4FUyA500aDemEXcuaOntw2GE9AGUaVuGbMfaoE1XIshrX\n2Zt5E/8yy98lM0ydu4xr3rdISHhO+14DGTN8EL1THcybVfKS//Ax1Co1h522MMLZEYVSwbW9p4kO\nDKPTpD6E+QXj73mD5kM6UbFFLdRJSbx59oo9k7N3rlHq+PNKGy61rvVz1jNfW8947vHgUcAjBjgM\nIFCvnilgUoAZ2nrmacRTFuVQPaNWqVk9Zw3LdyxFoVBwfI8bIQGhDJsyhPu+AVz0uESVOpVZuHEe\nhc0K06xjU4Y5DGZY+5EAlLYpTUmrkvheupWl+D9HG+7Vq9ccPuKMsZERCqWS014X2LxpV6b1TJw4\nh2NHd6BQKti6ZQ/+dwOY6zSFGzd9OXrUg82bd7Nl8+/4+58nPi6BgYPG6J4PuH8JU9Mi5MtnTA/7\nznTr9h137wWydMks+vfvhYlJQYIeXmPz5l0sXPTrR5SkRK1S8+ecdSzZvgiFUon7HndCAx4xePIg\nAm4FcNnjCpXrVMbp7zkUMStM0w5NGOwwkB86jOLcsfPUaV6HvzzWIctw/cx1rnga1n5TqVTMd1zO\npr1rUCqU7N91mAf3g5gwfRR+Pv6ccjvLvh2HWbl2IZ5XD5EQ/4xJP2i2Sipeohib9q5BVstERT5h\nyhhNnZIvvzGb9q7ByMgIpVLBxbNX2bMt/V3mVSoVEybOxvXYTpQKBVu27sHfP4B5c6dw/YYmXTZt\n3s3WLau553+e+PgEvhuoSRd//wD273fBz9eLJJWK8RNmoVZr/Nzt2/6k9RfNKFHCnJCg68xfsJLN\nW3Yb/G3ySt9VXu0TkVVqAhw3UXe3pq0dscuLV/fDsJvWjxe+Dz/qjwMUbVaNd5GxvA3N3pavAkFe\nQPrceyNmFkmSXsqyXDjVtTbAFFmWu0uSNA94KcvySu09BbAIsEezIuMp0AuoBzhpf68FnAXGyLKs\nliQpBM1ZHC+AQ4A1/4+9+46v6f4fOP4692bbI2SYtWpTo4rae69So6Wqw6jWailVpTZVVaNoqb0J\nkURiRuwZasUmOzLtJDfn98e9ucnNTchA8vV7Px+PPMg9n3PPO2d9Pud8FlxDP8TVJFVVDyqK0haY\nhr43TKiqqi0VRbEFfgfqG7Z1xxDTOKAfEAcEA32SDY9lxta2ZM7Y2YCthVV2h2DUq1DN7A7B6CUj\nk79xdeNyznEaGpm+FoZvQtX8pbI7BKOHuqcvT/QG1bUtlt0hGFnkoE6FW8PNJ8vMLtpMTMT+Oo3M\nXye7QzAqFZdjsklWW6Q9HMibdiAsa0PUvGqueeu9PNEbMlYb9PJEb8iVqJwzBnL3Iu9ldwgmohJe\n4Vw/WeT3LOc8xFtpck4btO7WpV+e6A0Zd+bVvGB+lYqWfjWVJlk1qFDt7A7B6CGvdtjerPBPSH3O\nlOzyKAfd805GZK6y83WI0726IcOyqmmRqtkdgolbOShvuh396np+ZVVea7vsDsHouS4uu0MwsStP\n3ewOwahZyKac9irtf9rcEv1yzkPxKzTq3ppsOU9yTGk7ZaWH4bODwEHD/yelWJYA/Gj4MTJMLvRE\nVdVeqXxfqWS/tk0jDnfAPcVnTwGzAf5UVZ0OTE/te4QQQgghhBBCCCGEEEKI9Hgraz2yUc5qdiqE\nEEIIIYQQQgghhBBCCJEFOabHx6uSvJeIEEIIIYQQQgghhBBCCCH+f5EeH0IIIYQQQgghhBBCCCGE\neGu8dT0+hBBCCCGEEEIIIYQQQoj/JQkyVfwrJT0+hBBCCCGEEEIIIYQQQgjx1pCKDyGEEEIIIYQQ\nQgghhBBCvDWk4kMIIYQQQgghhBBCCCGEEG8NqfgQQgghhBBCCCGEEEIIIcRbQyY3f4PidPHZHYKR\ng13+7A7BaGf0pewOwSjq+ePsDsHEyFIVsjsEox8sGmR3CEZjZpXP7hCMnm05kN0hmBh1KufMhHU5\nLjy7QzDKb507u0MwqmDrkN0hmHiOmt0hGO2yfJLdIRhdeHgvu0MwstLmrOLa3zax2R2CUezznFO2\nKmiTc+4zXz3P7ghMTbPMOfeZqNhH2R2CURGbnFMed4sLyO4QjNyqDeTwhX+yOwwTIbf3ZHcIRmGd\nPs/uEACIfZJz8qYfInNldwgmcuegfHtokQ+yOwSjhaHHsjsEoyuP/bM7BBMhT6KyOwQjO0vr7A7B\n6OHznPNskHNKMno2Gl12hyBek4TsDuAtk3NyZCGEEEIIIYQQ/6/5PQygaOnW2R2GUU6q9BBCCCGE\nEOknQ10JIYQQQgghhBBCCCGEEOKtIRUfQgghhBBCCCGEEEIIIYR4a8hQV0IIIYQQQgghhBBCCCFE\nNspp88n8r5MeH0IIIYQQQgghhBBCCCGEeGtIxYcQQgghhBBCCCGEEEIIId4aUvEhhBBCCCGEEEII\nIYQQQoi3hszxIYQQQgghhBBCCCGEEEJkowSZ5eOVkh4fQgghhBBCCCGEEEIIIYR4a0jFhxBCCCGE\nEEIIIYQQQggh3hpS8fHmVDh9ypPEn4gHVxn+zSCTBL17d+XsGS/OnvHi8CEXqlWrlOGN/PD9MK5e\n9uHSf960atnY+PkNv+OcO7uX06c8OX7MLdV1GzWrz74TLhw4tYuvvx1ottzKypIFy2dx4NQutnuu\nwbm4EwAWFhbMWTgF98Nb8Dq2ncHfJa17+Jwb7oe3sPvgRlz2rcvw35OoSfOGeJ90xeeMO0O/G2S2\n3MrKksV/z8HnjDu7vNZTzBBb14/a4+m91fhzP/wilau8m+Htt2zZmHPn93Hh4kFGjRqcyvat+HfV\nn1y4eJCDh3ZQokQxAJo1a4jPkV2cPOmBz5FdNG78gXEdd48NnDu/j2PH3Th23A17+0IZjsuuYW1K\n7F5OCY8V5B/U02x5ni4tKe2zkeLbFlF82yLydm9jXFbmopvxc8c/J2V426kp07gaQ/bPZtihuTQY\n3NFsea2+zflqzwy+dJvGgC0TKVzOGYB3GlZhkOuvfLVnBoNcf6VU/Yyf+ykduR5I5/m76Pj7Tv7x\nvmS2PCjqMYP+2UuvRe58tNCNw34BAFz0f0DPRW76n4Vu7L98P8uxWNSoS975q8i7YC3WXfqkmsby\ngybknbeSvL+tINe3E0wX2tqR76/N2H7+bZZjqdK4BtP2zWf6wQW0G9zFbHmrzzvwq9c8fnGfy+i1\nP1PIubBx2fKbG5nkNptJbrP5ZtkPWY7l/SZ1WO/9Lxt9VtNvaG+z5dXfr8Y/Hn9x6K4XTdo3Mlnm\nfc+LlZ5LWem5lJkrfs10DI2a1Wfv8e3sP+nC18M/M1tuZWXJH8tnsP+kC9v2rMK5uCOgv+/N/nMy\n7t6b8Dy6lcHJ7pkDv+6Lh88W3A9vZv7S6VhZW2U4rlpNarHs4DL+Pvw3Hw35yGx5lfersMBtAa63\nXWnYrqHJsoHjBrJ472IW711Mo46NzNbNqLKNqzFs/2yGH5pLw1Su69p9mzN4zwy+dpvGwC0TsU92\nXX/p+iuD98zgS9dfKf0KrmuAao1rMmf/n/x2aBEdB3czW95uUCdm7f2DGR7z+HHdLxR2tgegsLM9\nU13nMM3tN2Z5zad539aZ2n6T5g04dGIXPqfdGPrt52bLrawsWfT3HHxOu7HLa11SftSjPXsObTH+\n3HtwgUpVKgDw/fjhnLy4l2v3TmYoluYtGnH6rBfnfPczYuRXqcRixYp//+Cc7372HdhKiRL6Y/Ne\nrWocPrqLw0d34XPMlQ4dWxnXyZcvD6vW/Mmps56cPLOHOnVrZigmyP5jlFz9pu/j4rOeXcc2MXDY\nJ2bL36tXgw2eKzjj702LDk2Nn1eoXI5VrkvZdmgNm/evonXn5pmOoXHzBhw4sRPv07sZksY5s/Dv\n2Xif3o2L11rjOdOlR3vcD202/tx54EulKhXIldvO5PPz1735edr3GY4rf9Ma1Dz8BzWP/onzsK5p\npivUvh71g7aSq3oZABQLLWXnD6P6/t+o4T0f52/SXjcz3mtciyUH/mKp9zJ6pHL/6zKoC4v2LWbB\nnj+Zun4q9obzJyuaNm/I4VO7OXrWg2FplDOX/DOXo2c92L13A8VKOBmXVaxcnl2e6zh4bCf7j+zA\n2nDP3+q6ksOnduN1eBteh7dRqHDBTMWWE87hRPWa1GXj4VVsPrKWT4aZl2dqvF+Nf/csxefePpq2\nb2yy7Mj9fazyWs4qr+XMXjk1U9tv3uJDTpzdw+nze/l25Jdmy62srPh75e+cPr8Xr/1bKG645yVy\nLubIvaDzDBuuvw7LlivNoSM7jT93A87x9ZABmYrtRSZM+41G7T+mS7+vX/l3p8b6/ToUWf8vRTat\nIfcn5uUr23atKbp7O/Yrl2G/chl2HdsZl+UZ8iX2a/7Bfs0/2DRvarZuRtnWr43zjn9w3rmSfJ/1\nMlueu1Mriu/fjNPGJThtXELurm2Ny7QO9hRdPAOnbX/jtHU5Fk5FsxRL9cY1mbd/IfMPLaZzKnlT\n+0GdmLt3AbM8fmfCusnGvKlkpdJM2T6DOV5/MMvjdz7o0CBLcSTGMnf/QuYdWkynNPLJ2XsXMNPj\nd8Yni0WfT85luts8Znv9QYtXkE+mVL5xdcbsm8v3B+fRZHAns+X1+rZghMdMvnObzuDNP1OkrHMq\n35Ixr+NZO9Gmzcs4dWpPumN51Xk2wMad/3DgxE7jsvTmB61aNuHihYNcvnSY0aOHpLpf1qxexOVL\nhznsvZOSJfX7pWDB/OzZs5HwB1f5fd4Uk3U8PTdx8cJBTp7w4OQJj3S/g2jRshFnzu3l/IX9jBhl\nfi9LLHOev7Cf/Qe3GcuctWpVw+eYKz7HXDlyfLexzOns7Iir21pOnfHkxCkPBqfj3tuqVRP++8+b\nK5d9GDNmaKoxrF27mCuXfTjis8u4PwC+/34YVy778N9/3rRM9p7sehrvySZNGsPZM16cPuWJ2+51\nODqmff9p3aoJl/7z5uplH75PI651axdz9bIPR1PEldb7u2VL5xLo78v5c/teul/SkulynqUFZecN\npfr+36i+dy55P6ic6RiEyAneyBwfiqIUBeYB9YBIIBaYparq9jex/WRxVAa2A9VVVX1q+Gw3sFpV\n1Q0p0jYBXIDb6CuIQoE+qqqGKooyAKitquowRVG6AH6qql5+yeav1a6jv8lrNBru3TnDDhd3kwR3\nbt+nWfMeREVF06Z1U5Ysmkn9huYvmdJSsWI5evbsTLUazXByKsoe9w1UrPwhCQkJALRo+RHh4ZEA\nFM9T2GRdjUbD5Fk/8kn3rwgODMFl7zr2ehzkxrVbxjQ9+3UlOiqGpnU60qFrG8b+/B3fDPqedp1b\nYmVlRdsPe2Bja4PX0W3s3OpBwP1AAPp0HkRkRFS6/46UNBoNU2ePp3fXLwgKDMFt/0Y83Q9w/dpN\nY5ren3QnOjqGhrXa0qlbW8ZPGsngz0ezffNutm/eDcC7lcrxz9oFXPrvaoa3/9u8yXTs0I+AgGAO\nH97J7t1eXL16w5im/4CeREVFU61qE3r06MiUX8fS/9NhhIdH0qPH5wQHhVKpUnlcdq6iXNl6xvUG\nDvyOc2cvZnbHYD9hKAGDxhEf8oDiGxfw+MBx4m7eM0n20N2bB1MXmq2uPo/lfjfzAlRmKRqFtlMG\nsKbvdGKCIxi0cwrX9p7lwfUAY5qLLkc5s1afeZdv8R6tJvRlXf9ZPIl8yIaBc3gUGoV9+WL0Xf0D\nv7//TaZj0SUkMN31NEv6N6NoXlv6/rWHxu8Wo0yRfMY0yw79R6sqJelZtxw3Q6MZtuYg7iOdKVsk\nP+u+aoOFVkPYw6f0XORGowrOWGgzWU+s0WD3+bc8mjKahIgw8kxfQtzpIyT4301K4uCMTde+PJww\nDPXxI5S8+U2+wvbjgcRf9s3c9pNRNBr6TR7E3H6TiQiOYOLOGZz3Ok3gDX9jmnuXbzO54w/EPoul\nSb9WfDTuE5YMmwdA7LNYJrUbk+U4QH9djZr6Ld/1HkNoUBjL3Rbj43mUO9eT9ktIQAhTR8yk99fm\nlXrPn8UyoJX5S4+MxvDLzLF82mMwwYEh7PBay16PQ9zwS3bf69uFmKiHNKvbmQ5dW/PDz98yfNBY\n2nVugZW1FW0b9cTG1gbPI1vZuc2d+Lh4+n/Rm1YNuvP82XMWLJ9Jx66t2bphV4biGvrrUH7s8yMP\ngh4w33U+J7xOcO960rUdGhDK3JFz6f5Vd5N16zSrQ5kqZRjaeiiWVpbM2jKL0wdO8+TRk0ztI0Wj\n0G7KAFYbrusvDNd1WIrr+rThuq7Q4j1aT+jLGsN1vX7gHB6GRlGkfDH6rf6B37JwXevj0fDZlC+Z\n3ncS4cHh/LpzFmf3niTgetI5fOfSLSZ0GE3ss1ha9GtN73GfsmDYXCJDI/m521jiY+OxtrNhlud8\nznidJCo0Mt3b12g0/DprAn26fUFQYDC7923E0+MA15PllR/360Z0VAwNa7ejU7e2/DhpJEM+H832\nLbvZvsWQH1Usx99r/+Dyf9cA2LvnICuXr+PwqdQbJqQVy9zfJtGlU38CAoI54L0dN7d9XEuWN33a\n/yOioqKpWb0Z3Xt04JcpP/BZ/+FcuexHkw+7oNPpKFrUniPHd+Putg+dTseMWRPZ6+XNp/2GYWlp\niZ2dTbpjguw/Rin30Y/TR/NVz28JCQplncffHPQ8zC2/O8Y0wQHB/PTtr/QfYvoS99nTZ0z4ZjL3\nbvtjX7Qw6z3/4eiBEzyMeZThGH6dNZ6+3b4kKDCYXfs24JXinOllOGca1W5Px25tGDdpBEM/H8OO\nLbvZYThnKqQ4Z9o2TqoQ2L1/I+67MvhgrNHwzrQvuNRrMrFB4VRzn0mE5yme+vmbJstlg8Og9jw8\n42f8rFDHD9BYWeLbbCQaWytqHJrPg+0+PPcPy1gMqYalYfCvg5nQdwLhQQ+Yt2seJ7yOc/96UiOE\nm5duMaL9dzx/9py2Aju1rQAAIABJREFU/drx2Y8DmTV0Zpa2OW3OBHp1GURQYAjuB/TlTL+U5cyo\nGOq/14bO3doyYdIovh44Cq1Wy59LZ/LNV2O5/N81ChTIR1xcvHG9YV98j+9588YXGYktu8/h5LGM\nnvYtwz8eTWhQGCvclnB4z5EU+XYoU76bQZ+vzV9wP38Wy6ctzSuVMrL9WXMn0a3zAAIDgtl3aCse\nu/dz7VrSPa/fpz2Iioqhdo0WdOvenkmTx/D5gO+My6fNGM8+L2/j7zeu36Zxg07G77/k54PrLs9M\nx5iWLu1a0qd7J36cMueVf7cZjYZ8o78l/Nsx6ELDsP97Cc8OHyX+zl2TZM/2HSD6tz9MPrOuXw+r\n8uUI6z8IxdKKQgt/5/mxE6hPMleGQKOh4LhvCPn6B+JDHuC09k+eHDpG3C3TZ5XHnoeImPGn2er2\nv/5A1PJ1PDt+FsXWBtTMj3muaDQMnPIVU/v+THhwONN3zuZ0KnnTuA6jiH0WS8t+beg7rj/zh80h\n9ulzFo6YT/CdIAoUKcD03XPx9T7Pk5jHmY7lsylfMc0Qy9SdszmTSizjDbG06NeGPuP688ewOYZ8\n8gdjPjnb8w/OeJ0kMpP5pHlsCl0nf8ayftOIDg7nm51Tuex1htAbSeW+cy5HOL52LwCVWtSi40+f\n8Hf/GZne5ut81u7UuTWPM1AGfl15NsC3X43lwvmXvTIyjWX+/F9p174P/v5BHD3iiqurF1evXjem\n+WzAx0RFRVGp8od89FEnpv76I/0+GcKzZ8/55Zc5VK5UgcqVK5h9d/8Bwzl79kKGYpn72y907vgp\nAQHBHDy8A7fde1OUOXsSFRVDjWqmZc7Ll/1o3LCzvszpYM9RQ5kzXhfP+B+n4Xv+Erlz58LbZyf7\n9/uYfGfKGP6YP5W27Xrj7x/E8WNuuLp6cuVK0v4Y+FlvoiKjqVipIT17dmLatPH07TuYihXL0atn\nZ6ob3pN5uG+gUhrvyRLNnbuYSZNmAzBs6EAmjB/BkGFj04yrTbK4dqUSV2RkNO8a4po+bTx9DHGl\n9f5u1apNLFq0ghUr5qf7OKUILNPlvKJ9WwDg22wkloXyUnHdBC60+SFL92CRMQnZHcBb5rX3+FAU\nRQF2AN6qqr6jqmot4GOg2IvXNK6vfVWxqKp6CdgGjDd8dxfAMpVKj8QKocOqqtZQVbUacAowr76F\nLkCGmrE2b9aQW7fucu9egMnnx46fJioqGoDjJ87i7OxoXNanTzeOHXHl9ClPFi2ciUZjfug6dWzN\npk0uxMbGcufOfW7evEPdOulrqVn9vSrcvX2f+3cDiIuLZ9d2D1q2bWKSpmXbpmzdsBMA951e1G9U\nFwBVVbGzs0Wr1WJjY01cbDyPHmbuoSo1NWtV5c6t+9y7609cXBwu29xo3c60BVKrts3YvN4FgN0u\nnjRsXM/se7p0b4fL1vS/VEpUu3YNbt28y50794mLi2PLll106NDKJE2H9q1Yu2YrANu3u9GkSX0A\nfH0vERwUCsDly35YW1tjZZXx1t+psalagbh7gcT7B0NcPI/cD5K7mXkrlzfFuUYZIu+EEHU/jIQ4\nHZd2HadCy1omaWIfPTX+39LO2vj/4Et3eRSqrxwL8/PHwtoSrVXm62X/8w+neMHcFCuYG0sLLa2r\nluTgVdNMXlEUHj+PA+DRs1js89gCYGtlYazkiI3XoaBkOg4Abdl3SQgOICE0COLjiTuyH6vapi3F\nrFt04LnHDtTH+utGjUmqKNS+Ux5NvoLE+Z7OUhwA79QoS+jdYMLuh6KLi+fEriPUaFXHJM3VY5eI\nfRYLwK1z1yngkPGeSOlRsea7+N8JIPBeEPFx8exz2c+HreubpAn2D+HmlVuoCa8n609533Pdvsfs\nvteibRNjpYX7zr3U/zDxvgd2djZJ9724OB491D8Aay30n2m1WmztbAgJztjLwPI1yhN4J5Dge8HE\nx8VzaOch6rUyvaeF+ody5+od1BQF0BLlSnDxxEUSdAk8f/qc25dvU6uJ6XWYEc41yhBxJ4TI+2Ho\n4nT8l8p1/TzFdZ0YUfCluzw0XNehr+C6Bihboxwhd4IIvR+CLi6eY7t8qNWyrkmay8f+M57D18/5\nUdBRfw7r4uKJj9W/kLS0skTRZPzarlGrKndu3zPkR/G4bHOnVdtmJmlatWvG5g3J8qNG75t9T+fu\n7XDZmtT44ezpC4SGPMhQLLVqV+fWraS8adsWV9q3b2GSpl37Fqxbuw2AHdvdadxEn0c8ffoMnU4H\ngI2NtfE8ypMnNw0a1GHVv5sAiIuLIzr6YYbiyu5jlFyVmpW4f9ufgHuBxMfF47FjL01af2iSJvB+\nMNev3DQ+/Ca6e+s+927r842wkAdEPIikQCHTSun0SHnO7NrmTqu2Kcow7ZqyxVC+cnPxokGq50zb\nVMswpd4pQSH7gpw8diZDceWuWZand4J5fi8ENS6eBy4+FGxdxyxdiR96E7hwBwnPY5M+VEFjZwNa\nDRobK9TYeHTJ7gNZUb5GeYLuBBJiuP957/I2u/9dPHaB58+eA3Dt3FUKOxZO7avSTV/OvJdUztzq\nTut2ptd1m3bN2LR+BwCuLp58aChnNm7WgCv/+RlfbkVGRpudS1mRE87hRJVS5NteLvtp1Nq0PBPk\nH8yNK7dQE179y5Fatatx+9Zd7ibe87bupm0H014s7dq3YMM6/T3PZYcHjZoklYvbdWjBnTv3uZrs\nZVRyjZvU587te/gbGm69SrVrVCVf3jyv/HtTY1npXeL9A9EF6sudT/fux+bD9PVQsChVkufnfUGX\ngPrsGXE3bmJdr+7LV0yDdZUKxN8PJD4gGOLjebznIHZN6r98RcDynRKg1fLs+FkA1KfPUA3XfWak\nzJuO7vKhTkvTe+0lk7zpGoUMeVPQ7UCC7wQBEBkaScyDaPIWzJulWIJT5JO1U8SSPJ+8ce7aa8sn\nUypeoywP7gYTcT8UXZwO313HqNyqtkma5OU+Kztrs7JoRr2uZ+1cuez45ptBzJy5IN2xvO48OyPq\n1KnBzZt3uH37HnFxcWzavJOOHU33S8eOrVi9ZgsA27btpmlT/bX+5MlTjh49xbPnmb9mkqudosy5\ndYsr7Tu0NEnTvkML1q/VH6Md292Nx8ikzGltbXx3HhIcZmwY8OjRY65du4GTk0OaMdStU9Nkf2zc\n5ELHjqY9njp2bMXq1ZsB2Lp1N82aNjR83pqNGXxP9jDZ+yy7XHZpnucp49q0yYVOKeLqlEZcL3p/\nd9jnBBGRmW88nJVynm35YkT56BvnxoXHEB/9mNyG3iBC/C96E0NdNQNiVVVdkviBqqp3VVVdoChK\nKUVRDiuKctbwUx/0vS0URTmgKMo64KLhsx2KopxRFOWSoijGZr6KonyuKIqfoigHFUVZpijKn4bP\n7RVF2aooyinDT2KJbzLwkaIoNYAZGCozFEWZpCjKUkVRPIFVyf8AQ+VNHvS9VZJ/Xh/oBMxWFOW8\noijpuhv07NmZDRt3vDDNwM8+xmPPAQDefbcsPT/qxIeNu1C7Tit0Oh19+ph3iXVycuC+f1Jh3T8g\nCCdnfeahqirubus5cdydQZ/3NVvXwbEIQQHBxt+DA0NxSNGdr6hjEYIC9Wl0Oh0PYx5RoGB+3Hfu\n5cmTp5y4vJcjvntYtvBfoqNiDNuFVVuWsHPfenp/atoyOb0cHIsSGBBk/D0oMMQsNgenIgQGJMUW\nE/OQAgVNH+46dm3DjkwUQJyciuIfkLRfAwKCcEzR1Tp5msTtFypUwCRNly5tueB7idjYpEzlryWz\nOXbcjR/GZrwVtLZoIeKSvVCND36Atoj5w3/uVg0ovn0xDvMmYOGQNByEYmVFsU0LKLb+d3I1z3qF\nSR6HgkQHhRt/jwmKII9DAbN0tT9tyTDv32gxrjceP/9rtrxiu7oEX7qLLjbebFl6hT58ikO+XMbf\ni+a1IzTGtLXP102rstv3Nq3mbGfYmoOMbZ9UqL94/wHdFuymx0I3JnSsk/neHoCmoD0J4UnHKSEi\nDKWQ6bAcGsfiaJ2KkWfKAvJMXYRFDcNDpqJg++kQnqxenOntJ5e/aEEiApNerkYGhVOgaNpdrT/s\n2YyLB88Zf7e0tmLizpmM3z6Nmq3MC04ZYe9QmNDAUOPvoUEPsHdI/3AlVtZW/O22mKW7/uTD1pkb\ncsDBsQhBgSHG34MCQyjqaBpD0WT3RvP73jOOX/LC57w7yxauIjoqhpDgMJYvXIXPeXeOX/LiYcwj\nfA4ez1BchR0KExaYdM48CHpAoXRWQN2+cpvaTWpjbWNN3gJ5qfZBNeydMj8MTF6HgsSkuK7zpnJd\n1/m0JcO9f6PluN64p3JdV3oF1zVAAYeChAclncMRQeEUfMG+adqrBb4Hzxp/L+hYiBke81hwfBm7\nlmzPcE8CR7O8MgRHxyImaRxSnDMxhnMmuY5d2+CyLWsPxE5ORQnwT8obAwKCzfImRycHYxqdTkdM\n9EMKGvKmWrWrc/yUO0dPuDHi25/Q6XSUKlWcBw8iWLRkFoeP7GTBn9Ows7PNUFzZfYySK+JoT3Cy\nazw0KMzsGk+PKjUrYmlpyf07AS9PnIKDY1L5BBLvM0XTTJP8PpOc/pwx7SkM+kq0Xds9MhyXtUNB\nYgOSjlNsUARWKY5TriqlsXYqTORe00qVcNdjJDx5Rh3f5dQ6/ReBS3YSH/VqGrwUcihEWLJ86kHQ\nAwoVTfv8adWrFWcOZK1hgINjUQJMjlEwDmbXdVGzcmbBgvkpU7YkKirrty7F89AWhgw3HSp23sKp\neB3exogxmRviKCecw4nsHewJTZY3hQaFYZ+BWKysrVjh/hfLdy2iUZuGL18hBUdHBwKSPQ8EBgSb\nDT3i6FSUAP9kxyn6EQULFcDOzpZvR3zJrOlpvwDt1qM9Wze7ZjiunEZrXxhdSFL5ShcWhtbe/PnA\npkkj7Fctp8DUSWiK6I9j/I2b2NR7H8XaGk2+vFi/VwNt0cyXIbRFChOf/FklJPVnFbvmDXHa9Bf2\ns38ybs+yZDESHj7Cfu7POG5YTIERX0AqDf/Sq2CKvCk8KJwCDmmXgZv2asH5ZHlTojLVy2FhZUHI\n3eBU1kqflPnky2JpYpZPFmamx+/8eXw5O5dse2W9PQDyFS1AdGBSuS86KJy8Rc3LfR980pIfDv1O\nu7F92DnJvNyXEa/rWXvixFH88cdynjx5lu5YXmeePefPX3E/tJnho82HJk1Nync7AQFBOKeoGHBy\ncsDf/8X7JTXLls7l5AkPxo1L3zDKjk4O+Psnv/8G4ZTK/dc/eZkzJqnMWbt2dU6c8uDYSXe+Gz7B\nWBGSqEQJZ6pVr8zpU+fTjMHJOelvhTT2h3PSPtPpdERHx1CoUAGcnczXTc97ssmTf+DWzVP07t2V\nSb/MTjMus3dw6YzrRe/vsior5bwnl+/qK0m0GqyLFyF3tTJYOWetkYkQ2elNDHVVGTAvNeiFAi1V\nVX2mKEo5YD2Q+PaxLlBFVdXbht8HqqoaoSiKLXBKUZStgDXwE/Ae8BDYDySOBzMfmKeqqo+iKCWA\nPUBFVVWfKIoyGvAGflNVNXmzn1pAQ1VVnxqGuvpQUZTzQCHgMfBj8uBVVT2qKMpOwFVV1S2p/YGG\nSpovARRtPqyt89OxQyvGT5ie5g5r0rg+n33Wm8ZN9OPwNWvakPdqVjWOOWhra0NYmHnLUH39jKnE\nmulGTboQFBSCvX0hPNw3EHk/jJPHzqZr3Zelqf5eFXQ6HfUqtyRf/rxs2r0Cn0PHuX83gB7t+hMa\nHEahwgVZvXUJN6/fNtlueqSyWfPYUmuVnyxNzVpVefr0GdeupN518sXbf/m+SS3I5GkqVizHlF/H\n0qlj0tjMAwd+S1BgCLlz52LdusX06dONdYZWaukMLJUPTeN6fOA4D3cfhLg48vZqT5FpowkcqJ+b\n4U7zfujCIrAo5oDzipk897tD/P2gVL4zC1JpGXF6lRenV3lRpXN9PvymCy6j/jIusy/nTPOxH7O2\nX+a7S6exWbPj6HHhDp1qvsOnDSriey+MCVuPsmVoezQaharFC7Ptm/bcCovmp23HaFDOCWvLV9b5\nzDxArRaNYzEeTvoOTSF78kxeQMzIz7Bq1JK4s8dRw7M+fAik81w2qNflQ0pVK8PMXhONn42p/zVR\noZHYFy/CmPWT8L96j7B7Iamu/ypjSU33uh/zICQcpxKO/LFpLreu3ibgbgZbab74tvHCOKu/V5kE\nnY4PqrQiX/48bHT9hyOHThAdFUOLtk1oXKsDMdEP+fOfWXT+qB0umzPwkvvll3aaznqfpXz18szd\nMZfo8Giunr2KLl738hUzILXjdGqVF6dWeVG1c30afdOFHSmu6xZjP2Z1Fq9rSP1en9Z506BrY0pX\nLcOUXklz5kQEhTO2zQjyFynAqGXjOOF2lJgH0RkIIPN5ZaKatary7OnTTOVHL99OyjTm6yXGcua0\nL/XqtKV8hTIs+Ws2Xp4HsbCwoHqNyowZ/QtnTvsyY9ZPjBj1NVOnzEt/XNl9jJLHko7yw8sULlKI\nqQsmMmH4r5lq1ZqV8lWiGoYyjF8q50ynbm347usfzT5PR2DmnyWPS1Eo9csAbnxrPvxM7pplURMS\nOF3jCyzy5aLKjl+J8r7A80zmBy+LK63d3qRrU8pWK8fYnlmbcyrV/Z+eNKqKVmtB3Xrv0bZpT54+\nfcYml3+4cP4yPt7HGfrF9wQHhZIrtx1/r5rPRx93YrOhlXD6YzP/7E2fwy+KJSPDXnSp09OYby/c\nPI+bV25lKN9O1/NAGsdp7PjhLP5zBY8fpz7kjaWlJW3aNWPyz29gKKrX7uX3nGc+x3jqtR/i4rDr\n0pECP40l/JtRPD95GsuKFSj8158kREUR+99l0GWhB9PL7jPAk0PHeOR+AOLiyNOjA4WnjCHky+9B\nq8WmZlUCP/6a+OBQ7GdOIHenVjzakfGKXkjrWTH1tA27NqZM1bJM6jXe5PP8RQowbN53LBo1P2vX\nUgZjeadqWSYniyUi6AE/tPmOAkUKMHLZOE66HSU6k/mkeXDpi+3Yai+OrfaiRqf6NPumK5tGZb6R\n1ut41q5WrRLvlCnJDz9MMc4H8qpiyUyePfyrsYQY8oO//p1H914d2brxxcPgpi8W8/Vedm4OGDCc\nwMBgcufOxcYNS+nbtztrDT010o7l5dt50fuY06d9eb9OG8pXKMNfS+fg5XmQ54YeBrly2bF63SLG\nfj/FpJeFeQyZPTYvXrdxivdkV6/dwMfnBAATJ85k4sSZfP/9MIYM+YxfJs99Y3FlWRbKeSHr92Fb\nzpnqHrN47h/Gw9PXUF/x86QQb9Ibn9xcUZSFiqL4KopyCrAElimKchHYjOmQUSeTVXoADFcUxRc4\nDhQHyqGvHDmkqmqEqqpxhu9I1AL401BxsRPIqyhKHgBVVXcBUcCiFOHtTJz7wyBxqKviwApgVkb/\nXlVVl6qqWltV1doaTS7atGnKuXMXCQ1NfUiLqlUr8teS2XTrPpCICH3rDUVRWL1mM7XrtKJ2nVZU\nrtKIyVN+o3PnNsbJ0mu9V42AgCCKF0uabLGYs6OxNXNQkP7fsLBwXFzcqf5eFZPtBgWG4JisdtnB\nqQghwaEmaYIDQ3A01F5rtVry5M1NVGQ0nXu0xXv/UeLj4wl/EMHpE+epVkM/AVKooZVP+IMI9uze\nb7bd9AgKDMEp2bBfjk5FzWLTp0mKLW/ePERGJhUAO3fL3DBXoG9FW8w5ab86Ozsau9QmCkyWJnH7\nEYZ5TZycHVi/4S++GDSS27eTxrRNPDaPHj1m06ad1KpdPUNx6YIfYJmshbyFQ2F0oeEmaRKiH0Kc\nfjinmM3uWFcul7R+WAQA8f7BPD15AeuKWeu++DA4gnyOSa0I8joW5GFI2t0z/9t5jArJuk7ncShI\nz6UjcBm5hMh7oWmulx5F89oSHJ007m5IzBPjUFaJtp+9RasqJQCoXsKe5/E6op6Ydgd+xz4ftpYW\n3AjNfDfThIgwNMl6eGgK2qNGmF7/angYcaeOgE5HQmgwusB7aByd0ZavhE3bruRduAHbTwZj3agV\ntn0zP69FZHA4BZ2SWmsUcCyUamvqSg2q0mFYd/4YNMPYnR4wpg27H8rV45coUbl0pmMJDQqjiFNS\ni9oijoV5kIGhfh6E6M/1wHtBnDt2nnJVymY4huDAUJMWZY5ORY33rKQ0SffG5Pe9Tt3bcmhf4n0v\nkjMnzlO1RiUaNH4f/7uBRIRHEh8fzx7X/dSqk7Fr+0HQA5NeGoUdCxMeEv6CNUxtWLCBYW2GMb7v\neFAg8Hbmh+2ICY4gbwav63eTXdd5HQry8dIRbH8F1zVARHA4hZINa1PQsRCRIRFm6ao0qEaXYT2Y\nO2i6yTmcKCo0En+/e7xbN2MTrpvnlUUJTnHOBKU4Z/IazplEnbq1ZcdW85b7GRUQEIxzsaS80dnZ\ngeAg0xfPgcnSaLVa8ubLYzbnlt+1mzx+8pRKlSoQEBBEQEAwZ07r25C47HCnevWMTWiY3ccouZDA\nMBySXeNFHO0JDU7/fSZXbjv+XDOHP2cu5eLZzM3TkLx8Aon3mReXYfKkcs6kVoapWLk8Wq2Wi77p\nHzM80fOgcJPWe1aOBYlNdpy0uW2xe7cElbdN5r2Ti8nzXnkqrhxLruplKNz1Q6IOnEeN1xEXHkPM\nqauvbAiE8KAH2CfLpwo7FiYi1Pz+V71hDXoN68WUzyenev5kRFBgMM4mx8iBkKCUxyg41XJmUGAw\nx46cIiIiiqdPn7Hfy5uq1fXnbGJZ8fGjJ2zbspsa71XNcGw54RxOpM+3k/KmIo72hGUgluT59tmj\n5ylfpdxL1jAVGBhsMgywk7MDwcHm5XHnYsmOU77cREZEUat2dSZN+Z7z/x3g6yEDGDHqawZ92c+4\nXotWjbhw/jJhYenPa3MqXVgY2qJJ5SutvT0JD0z/LjUmxvh88GTnbiwrlDcue/TvWsIGfEH4d2NA\nUYi/bzpUbIZiCQkz6W1uUbQwurC0n1UebnPDumJ5w7oPiL12Qz9Mli6BJweOYlUxY+dMcuEp8qZC\naeRNVRtUo9uwHswaNM3k3mKb25axKyawcc5arp/zM1svI1Lmk2nFkphPzkkRS6LI0Ej8/e5TIQv5\nZErRwRHkc0oq9+VzLETMC3qU+O46RuWWtdNcnh6v41m77vvvUbNmVS5f8WHvvs2ULVcadw+T0c1T\n9bry7JBk+cGOLW5UT0d+kPLdjrOzI4EpynkBAcEUK5b6fklLoGEEj0ePHrNh4w7q1K7x0lgCA4Ip\nViz5/deRoJT338CkNGnF4nftJo8fP6FSJf28IxYWFqxZt4hNG3eya+eLJ6AP8A8y/q2Qxv7wT9pn\nWq2WfPnyEhERiX+A+bqpvSfb4eJOnTrm+2PDhu107douzbjM3sGlM64Xvb/LqqyU89AlcOfnlfi2\nHM3Vz2aizWvHs9uvuIGsEG/Qm6j4uIS+RwYAqqoOBZoD9sAIIASojr6nR/LJD4xvLQ29L1oAH6iq\nWh04B9iQervYRBpD+hqGH2dVVZMPVJ2A+ZwxL5qhbCfQ6AXL0+XjXl3SHOaqeHEnNm9cxoDPvuX6\n9aQJtPYf8KFb1w7Y2+sLIQUK5KdECWdcXDyMlSFnzl5gl6snPXt2xsrKilKlilO2bGlOnjqHnZ0t\nuXPrh/2xs7OlZYvGZi1NL5y7RKl3SlCshDOWlhZ07NqGve6HTNLs9ThI94/1EwC27dSSY4dPAhDg\nH8wHhnHvbe1sqVm7Kjev38bWzpZcue2Mn3/Y9INMtXA9f/Y/SpcpQfESzlhaWtK5Wzs83Q+YpPH0\nOMBHvTsD0L5zK454nzAuUxSFDp1bmYynnhFnzvhSpmwpSpYshqWlJT16dGT3bi+TNLvdvOjbTz+U\nV9eu7Th06CgA+fLlZdvWFfw8cRbHjyd1IdRqtcZuqBYWFrRp24zLlzNWiH723zUsSzpj4VwULC3I\n3bYJjw+YDqmjLZzUbTpX03rGyQQ1eXODpaX+//nzYvNeZWJTTIqeUQG+tyhY2oH8xe3RWGqp3LEe\nfl6m3SYLlkp6eC/frAYRd/QFL+u8dvReMZp9szZy/3TWHiYAKjsX4l7EQwIiHxEXr2PPxbs0ftfZ\nJI1jPjtO3NIXLG6FRRMbn0CBXNYERD4i3tC6LTDqMXfDH+KUP5fZNtJLd+MaGsdiaIo4gIUFlg2a\nEXv6qEma2FM+WFTWF7KUPPnQOhYnISSIJ39MJXpwL2KGfszT1Yt57u3J07VLMx3Lbd8bFC3lSOFi\nRdBaWvB+xwac9zplkqZE5dJ8Ou0r/hg0g4fhMcbP7fLmwsIwP0PuAnkoV+tdgq5n/mH46vmrFCvt\njGNxBywsLWjeuRk+nsfStW6efLmxtNKfv/kK5KVqnSrc8bv7krXMJd33nLC0tKBD19bs9Thokmaf\nxyG6f9wRgLadWnDssH5/BfoHU/9D/XBftnY21KhdjVvX7xDoH0yN2lWxsdVPCF2/UV1u+N0mI/x8\n/XAq5UTR4kWxsLSgcafGHPdK33BZGo2GPPn144iXercUpSuW5ox3xsb+Ty7Q9xaFDNe11lJLlY71\nuPaC67pcsuvaJq8dfVaMZu8ruq4Bbvpex6G0I/bF9efwBx0bcibFOVyycmk+nz6YuZ9PIyY86UG0\noEMhLK0N4z7nzUX52hUJupmxYV98z/5H6XcS8yMLOndri5eHaX7k5X6Ajz5Olh8dNs+PdqYyZFFG\nnT1zgTJlkvKmbj064OZmOsG1m9s++vTVD43ZpWtbvA/pr7GSJYuh1ep7sRUv7kS5cqW5e8+f0NAH\nBAQEUbacvlKzcZP6aU4ymZbsPkbJXTp/hRLvFMO5hCMWlha06dKCQ54+6VrXwtKCeStmsGuzO167\nDrx8hTToz5mSxnOmY7e2eKW4z3i5H6SHoXzVrnNLjhrKV6A/Z9p3bsWubeatnDt3b5fpc+nR+RvY\nlnbEungRFEtT/AG7AAAgAElEQVQLCnduSMSepCGjdA+fcKryZ5ytO5izdQfz8KwfVwbM4LHvTWID\nHpCvgb4hi8bWmjy1yvP0RuaPU3J+vn44lXY23v8adWzECa8TJmneqfwOw6YPY8rnk4kOz3orZ305\nsyTFSxrKmd3bsidFOXOP+wF69u4CQIfOrfAxlDMP7jtCpcoVsLXVz/lUr0Ed/K7dQKvVUtAw9ImF\nhQUtW5uXvdMjJ5zDia6cv0bx0sWM+XbLzs047Hn05SuSIt8umI9qdapwO9kE7elx9sxF3ilTihKJ\n97zu7fHYbXrPc3fbx8eG4YA7d2nD4UP6vLN96z7UqNKUGlWasmTRSubNXcLypWuM63Xv0YGtW/73\nh7kCiLtyFYtizmgd9eVO2xbNeOZjepw0hZKeD2wa1if+juEZQKNByaufu8KizDtYln2H5ydN798Z\n8fzSNSxKOGPhpI8lV+smPDlkWtZL/qxi1/gD4gwvrp9fuoYmT240BfLp46xbg7hbGS/rJUqZN9Xv\n2JDTXidN0pSqXJpB04cwK0XepLW0YNTScXhvPchxt/Sd8xmJRZ9Pph7LnJfkkxVqv0vQzVc3L42/\n700Kl3KgQDF9ua96xw+4nKLcV7hUUsXAu81qEn4n88N+wet51l6+bA1ly7xPpYoNadH8I25cv03b\nNh+/NJbXkWdrtVrjUFgWFha0aN0IvzTmGkru9GlfypYtRalSxbG0tKTnR51wdTXdL66uXnzSrwcA\n3bq15+DBIy/8zpTvINq1bc6lS9deuA7AmTMXeCdZmbN7jw647d5rksZt9z5699Ufoy5d23IorTJn\n+Xe4e0//DLlw8QyuXbvJwgV/vzSGU6fPU7ZsaeP+6NWzM66uniZpXF09+eSTjwDo3r09Bwz7w9XV\nk17pfE+WuD/Klk1q4NexQyuuXbuZrrh69uzMrhRx7UojrrTe370KWSnnaWyt0Njq52PN16gaqi7B\nbFJ08Xqpb+lPdnkTQ13tB6YpijJYVdXEPpB2hn/zAf6qqiYoitIfSGssmXxApGGYqneBxFkOTwLz\nFEUpgH6oq+4Y5gQBPIFhwGwARVFqqKqa9qCBL9cQSO1u9xD9/B8vZWtrQ4vmjRg8JKlL/pdf6Ltj\nLl22mgnjR1CoUAEWLJgGQHx8PPU+aMeVK9eZOGkW7m7r0WgU4uLiGT58vNnk6Jcv+7Flyy4u+h4g\nXqdj+LfjSUhIoGhRe7Zs1mcmFhZaNmzYgfd+00KbTqfj5x+ms2rzYjRaDZvX7eD6tZuMGDuEi+cv\nsdfjEBvXbGfe4qkcOLWL6KgYvhn0PQCr/97A7AWT2XNkG4oCW9a5cPXydYqXdOavVfrhMbQWFuzc\n6ma23fTQ6XRM+H4q67YuRaPVsHHtdvyu3mT0uGH4nr+El/sBNqzeyh9LZuBzxp2oyGiGfD7auH69\n+rUJCgzh3t3M3ax1Oh2jRk7EZecqtFotq1Zt4sqV60z4aQRnz17Ebfde/l25ieV//8aFiweJjIyi\n/6f6OTu++vpT3ilTkrHjhjN23HAAOnX8hMePn+CycxWWFhZotFoOHjjCin/WZzCwBMKmLsRp2TQU\njYaY7Z7E3rhLwWGf8uySH08OHCf/J52xa/oBxOvQRT8k5Ed990yrd0pgP2k4JKigUYhctpG4LFZ8\nqLoE3CeupO+qH1C0Gs5vOkTY9QCajOxO4IXb+O09S53+rSjdsAoJcTqexTzGZaR+6p+6/VtRsFRR\nGn3TlUbf6Id4W/PJDJ4ke/GeERZaDWPb12bwqgMkJKh0fu8dyhbJz6J9F6jkXJAm7xZjZJv3mOxy\ngrVHr4ICv3Sth6IonLsbxj+HL2OhVdAoCuM61KZALpvM75gEHU/+nk/u8bNBoyH2gDsJ/new6fUZ\nupvXiDt9lPjzJ7GsXpu881ZCQgJPVi9BfZS5v/3FoSSwZuJyRq6agEarwWfTfgKv+9NlRC/uXLzJ\n+b2n6TnuE6ztbBiyaBQA4QEPWPDFTBzLFqP/tC9RVRVFUXBbvJ3AG1loBahLYN6EBfy2biZajRbX\nje7c9rvDoNEDuOrrh4/XUd6tXoHpf08mT77cNGj5AYNGDaBfs4GULFeS72eMIEFV0SgKa/5cz53r\nGX8Y1ul0TBo7k383L0Kj0bB5nQvXr93iu7GDuXj+Mvs8DrFx7Q5+W/Qr+0+6EB0Vw/AvxgKw+p+N\nzPrjFzx8tqAoClvW6+97AB679rJr/zri43VcvniVDate3H08pQRdAot/Wsyva35Fq9XiudGTe373\n+GTUJ/hd8OOE1wnKVy/PT8t+Ine+3Lzf4n36jezH1y2+RmupZc5W/VAdTx49Yfbw2SRkYZiKBF0C\nbhNX8onhuj5nuK6bGq7ra3vPUrd/K94xXNdPYx6zPcV13fibrjQ2XNerP5nB40xe14nxrJy4jLGr\nfkaj1XBw0z4Crt+nx8je3Lpwg7N7T9H3x/7Y2NkwfNEYAMIDw5g7aDpOZYvRb8IA4zm8e+kO7l/L\n2H1Pp9Px0/fTWLvlLzRabbL8aCi+5y7h5XGQDWu2MX/JdHxOu+nzo0FjjOunlR+NnzSSLj3aYWtn\nw6n/9rJ+9TZ+m5myU6p5LKNH/cK2HSvRajWsWb2Fq1eu8+OE7zh39iLubvtY/e8mli6fyznf/URG\nRjFwgH4s53of1GbEqK+Ii4tHTUhg1IifiQjXt+j8ftQvLP97HpZWlty5fZ+hg7/P0D7K7mOUch9N\n//E3Fq+fh0arZcd6V25eu82Q7wdx6fxVDnn6ULlGReb9M528+fPQuGVDhoz5nG6N+9G6U3Peq1eD\nfAXy0qmXvpXfxG+ncu3Sy19WpIzhp++nsXrLErTJzpmR44Zy0XDObFyzjd+XTMf79G6iIqMZNihp\nn79fvxZBgcGplmE6dGlN/15DMrlzErj143Iqrf8JRashZMN+nvrdp/iYj3nke4NIz7TnzQha4UHZ\n34dS4+DvoEDohgM8uZL5F5LJJegSWPLTYiavnoJGq8Froxf3/O7Rd2Q/rl+8zkmvEwwc/zk2djaM\nXTwOgLDAMKZ8PjnT29TpdPw4Zirrty5Dq9WwYc12/K7eYMyPw/A9dwlP9wOsX72VBX/N5OhZD6Ii\no/h6oL6cGR0dw18L/8V9/yZUVWWflzf7PL2xtbNl/bZlWFhaoNVoOXzoGGv+3fySSFKPLbvP4eSx\nzBk/n/nrZqPRanDdoM+3vxjzGVd9r3HY8ygVq1dg5t+/kid/bhq2/IAvRg+gT9PPKFWuJD/MHIWa\nkICi0bBq4boM59s6nY7vR//Clh3/oNVoWbt6C1ev3mDc+G85d+4iHm77WbNqM0uWzeH0+b1ERkYx\n6LMRL/1eW1sbmjRrwIhvf8rUfkmPMT/P4NS5C0RFxdC8Sz+GfP4J3VNMfvvK6BKI/u0PCs2bBVoN\nT1zdib99hzyDPiP26jWe+xwl10fdsGnYQN/TOCaGqKmGoSgttBRePB8A9fETIn+ZmrWhrnQJRMz4\nk6KLp4NGwyOXPcTdvEv+wf15ftmPp4eOkad3F+yaGJ5VYh7yYKJhHP2EBCLmLcXhr1mgKMReuc7D\nLEwWnaBL4J+Jy/hx1c/6Z69Ne/G/fp+PDHnTmb2n6PfjAGzsbBixSH8PfhAYxuxB0/igQwMq1q1E\nnvx5aNyjGQCLRv/B3csZa9iSPJaVE5cxLkUsPUb25rYhlj6GWL41xBIeGMacQdNwLluMfhM+M+aT\nrktduH/t1dx/E2NzmbiSQavGodFqOLXpICHX/Wk1ogf+F29zee8Z6vdvRdkGVUmIj+dp9GM2ZmGY\nK3g9z9qZ7b31OvJsK2sr1mz5S58faDX4HDrOunQ8G+h0Or777idcd61Bq9Wy8t+NXLnix8SJozh7\n5gKuu71YsXIDK/75ncuXDhMREcUnnw41rn/t2lHy5smDlZUlHTu2pn2Hvty754/rrjVYWlqi1WrY\nv9+Hv/9Zl65YxoyaxHaXf9FqNaxetZmrV64zfsJ3nDWUOVf9u5Gly3/j/IX9REZG81l//fH4oH5t\nRoz8mrj4eBISEhj53UQiwiOp90Ftevfpxn//XcXnmL7iefKkOXjuOZhmDN9+N4Hdu9eh1WhY+e9G\nLl/24+efR3PmjC+url78s2IDK1f+wZXLPkRGRtG3n76MdPmyH5u37OLCC96TaQ3vyTw99dufOnUc\n5cuXQU1I4O69AIYOHfvCuNxSxDXp59GcThbXvyv/4Kohrj7J4krt/R3AmtULadzoAwoXLsidW6f5\nZfIcVqx8ea+lpMAyX86zLJSPSut/QlVVYoMiuPHNH+nfrhA5kPLKxpB70UYUxRGYB7wPhKHvWbEE\n/dwfW4EnwAHgG1VVcxt6eIxWVbWDYX1rYAfgDFxD31tkkqqqBw1zaIwGAoErQISqquMVRSkMLAQq\noq/g8VZV1TizoKIod4Daqqo+MPw+CXikquocw+9NABfgNvqeJdHAIFVV/RRFGWBYd5hh0vRlwHOg\nh6qqqVcFAxZWztlZyWWieJ6cMzlRbELWhih4laKev6jTz5vnW6pCdodgtO5xzjlnxswq//JEb8iz\nLVlvRfkqjTqVc47TtTjzbvvZJej5q5v4Masq2L6aSetelfc1aU+o+ab5kfr469nB+2HmXg6+Dg9j\nn7480RvUvlC17A7B6NLzVzMkwKsQGfvw5YnekA3WOSefBJhmmf7JZV+3MzGZe1n5OhSxyf/yRG+I\nrcbq5YneEL+Hr6YH0asScvvFQ7C8aWGdPs/uEACIffIm2lCmzw+Rme+d/Tq88fHEX6C4YvvyRG/I\nwtD09e5+EwrZpKvt6hsT8iTzQyu/atZay+wOwehp3POXJ3pDcszLPAPvQvVenugNqR+09UWj8YgM\nmlyyb0473V6JiXfXZst58kZKK6qqBgFp9S1M/vQ8zpD+IHAw2frPgbZprL9OVdWliqJYANvR9/TA\nUKHR6wUxlUrx+6QUvx9E39MktXVXAisN/z+C6dwkQgghhBBCCCGEEEIIIYTIJjmnmUbmTVIUpQX6\nOT880fcMEUIIIYQQQgghhBBCCCH+J2RhkEmRiv/5ig9VVUe/PJUQQgghhBBCCCGEEEIIIf4/yEnD\nTwohhBBCCCGEEEIIIYQQQmSJVHwIIYQQQgghhBBCCCGEEOKt8T8/1JUQQgghhBBCCCGEEEII8b8s\nQcnuCN4u0uNDCCGEEEIIIYQQQgghhBBvDan4EEIIIYQQQgghhBBCCCHEW0MqPoQQQgghhBBCCCGE\nEEII8daQOT7eIAuNNrtDMIp6/ji7QzAaULh2dodgdDIuNLtDMJGnyPPsDsHoyM2I7A7BqOdPJ7I7\nBKOLD52zOwQTNS1yzoCQjy3yZncIRv9F383uEIxscxXP7hBM1HyuZncIRrWwye4QjMJz0HG6pc1Z\nedOgZ5bZHYLRaE3OacMT9jQmu0MwirXMOfsFwFbJOY8cthbW2R2CUcCTB9kdgtFP+etmdwhJChQj\nQKPL7ihyLPudf2d3CEbxF/dndwh6A1yzOwITz0nI7hCMDscFZ3cIRjnpfciT+JzznA2gUXJOvp2T\njlNuK9vsDsEogZzzzARQsX54docgXpOcdq79r8s5TyFCCCGEEEIIIf5fy2mVHmGdPs/uEIxyUqWH\nEEIIIUROl3OqlYUQQgghhBBCCCGEEEIIIbJIKj6EEEIIIYQQQgghhBBCCPHWkIoPIYQQQgghhBBC\nCCGEEEK8NWSODyGEEEIIIYQQQgghhBAiG8nU5q+W9PgQQgghhBBCCCGEEEIIIcRbQyo+hBBCCCGE\nEEIIIYQQQgjx1pCKDyGEEEIIIYQQQgghhBBCvDVkjg8hhBBCCCGEEEIIIYQQIhslZHcAbxnp8ZHN\nWrZszIULB7h0yZvRo4eYLbeysmL16oVcuuSNt7cLJUsWA6Bgwfzs2bOBBw+uMG/eZGP63LlzceKE\nu/HH3/88s2f/nKnYmrdoxMmznpzx3cd3I79KNba//53PGd99eB3YQvESzibLixVz5H6wL8OGf56p\n7Sf3buPqjNv3Gz8e/J3mgzuZLW/8eTt+8JrDGPeZDF47gQLOhY3LOoztw/d7ZvP9ntnU6PBBlmN5\nv0kd1nv/y0af1fQb2ttsefX3q/GPx18cuutFk/aNTJZ53/NipedSVnouZeaKX7McS3JWdetSaNUq\nCq1di12fPqmmsW7ShEIrV1JoxQryTpjwSrcPULtJLZYfXMaKw3/Tc8hH/8feeYdFdbx/+z67VAsK\niFLErlFRsXcFe2+xJvZo8tXE2DVqYu+9G3tviVGxIQKiKIhixd7BQq82pC3n/WNhYSlKM/LmN3cu\nrsiemZ0PZ2aeeaane16tQTXWOa7F0fckTTs21Xo2bOoPbHL9k02uf2LXpXm6uNmlYLM6lHXaTDmX\nrZj8lF5LkR6tqXD5AGWOraXMsbUU6d1O67mioCHlL+6mxIyRudZSokUN2l9cSodLy/lmVJdMw1l1\nqk/vwH0Y25YFoHjzarQ+M4+2botofWYeZk2q5lpLKfsaDDi/lIEXl1Pn5/Raqg1oyXcuC+nnNJ+e\nh6djXNFS88y0sjW9HGbyvesivnNZiFJfN1dabO1qsdJtPavd/6TbyG/TPe80vCvLXdeyxGkVf+yf\nQzErMwBKVy3L3KOLWOayhiVOq2jUuUmONbRq3ZxrN1y46ePGuEzs3I5da7jp48bZc4cplWTnatep\nwcVLJ7h46QQeXifp3KWtJs7Pvwzl8tXTeHmfZtuOVejr62VbVy272qx128B69030GNkz3fMuw7ux\n2nUdK5zWMGv/XMyS3g3A9F2z2HN7P9O2T892uhlRvEUNWnkso5XXCip+ovxadK5Pt6D9FE0qv0Vr\nlcfedYH65+xCLDrUzRM9Zi1saeGxnJZeK6kwKn17kFpPl6ADFLEtp/W5oZUpHZ7toNzITrnWkiub\nN+0HNrtuZIvbJkbOHpGj9Ju1bMQZr8O4ejvw0+gh6Z7r6emyastCXL0d+MdpF1bWFgDo6uqwaM1M\nTrr/xfFzB6jfuE66uBv3rODUhb9ypMukhS0NPFfR8PIaSv/aLdNwZp0b0DL4bwon5VGJnk2pd3aJ\n5qdF4EEK2ZTOkYZkGrdowJGL+zl26SBDRg1I97x2Q1v2OW/D+9V5WnWy13xuUbIE+85s44DLDg6d\n30PPQZn/HZ+jTRs7fHzcuHvXnYkT07cpal9vHXfvunPhggOlSql9vZYtm+LpeZKrV8/g6XkSO7vG\nmjizZk3iyRMvQkPv51iXSYua1PdcTYPLayn1a/dMw5l1boh98CFNPhXv2ZS6Z5dqfuwC/6KQTZkc\n6wCoaVeL1W4bWOu+ke4Z2LzOw7uy0nUdy5xWMyNVe1CmalnmH13MCpe1LHNaTePOTdPFzQrNWzbG\n9fJR3LyPMWL00HTP9fR0WbN1EW7exzhyZremLuno6LB03RxOX/gb50uHGTnmB02cwkaFWL99KS5e\nR3C+dJhadWtkWU/L1s24fN0J71sujB73U4Z6tu5YhfctF864HdL44NalrHgVfJtzHsc453GMZStn\na+JMmz4On/vu+AXczLKOtJS2q8Ggc0sZfGE5dTPwIaoPaEl/54V8f3o+vQ9PxySVD1GssjV9js5k\ngOsi+jvn3odITSU7WyadXc7k8yuxz6Cf0LB/a8Y5LWas40JGHppJ8QpWGXxLztFvUI/iB3ZR/O+9\nFBqYvm9g2LEdJU4dxWznFsx2bqFAl46aZ4V//gmzvdsx27sdg1Yt8lRXRvyxYAXNO/Wj+4CctTvZ\nxfOeL91mbqXL9C1sd7qS7nlgxFuGrzhI3/m76D13BxfvPAcgXqXij52O9Jqzgx6ztrHN6XKuteTU\n7yxmZcbCk8tZ7LiSZS5raN2/Xbq42SU/+XkADe3rcfDCLg557GVgBv3bmg1qsNNpExdfuNIiTf/W\n46Uru5y3sMt5C0ty2L/9Ev54kSKF2b13HVdvOON9/Qz16tfKtq4vYYuzQ37zH1q1bsaVG2e4dsuV\nMeMzeh96bNu5imu3XHFxSz8+ZFXSgpeBtzTjQ/r6eric+4cLl45zyduRKdNGZ0NL3o9Vrd2wkMe+\nV7jk7ZhlHcla8rr8jvh5CF7ep7l89TQjfx6SLT3J6NSsj9Ga3Rit24d+j4zHh3Qb22O0aidGq3ZQ\ncGya8SHDAhTZfAjD4WNylL5AkF/4V3d8SJJUAlgJNAQigThgiSzLR/9NHan0dADmAgUBCTgpy/LE\nfyt9hULB6tXz6NSpP69fB+LpeYKTJ114+PCJJsyQIX2JinqDjU1zevfuwrx5Uxk48BdiYmKZPXs5\nVat+g41NJU349+8/0KBBB83vly6d4tix0znStnTFLHp0HUyAfxBuF45w2vEsjx4+1YQZOLg3b6Le\nUMe2Fd/26sSsuZMZNjjFKM5f/DuuLheynXZaJIVEzzk/sHHAfKKCwhl3fAF3Xa4T/NRfE8b/vh8r\nukwjPiaOxgPa0GVqf3aPWk3VFrUoaVOGZR1/Q0dPl1F/zeDB+VvEvv+YIy0KhYIJ88cw9rtJhASG\nstXxTzycL+H35IUmTLB/MPPHLea7EX3SxY+NiWNI2/ROQq5RKCg8ZgxREyeiCg3FZONGYj09Ub1I\n0aW0sqJg//5EjBqF/P49UtGieSxBwS/zfmHq99MICwxj7cnVXHa5wssnLzVhQv1DWD5+Ob3+p+3g\n129ZjwrVyjOy3S/o6umy7J8lXD13jej30TkVQ4mZP/Nq6O/EB4VR5vAq3p+9TNyzV1rB3jleIHjO\nnxl+RbGxg4j2vpuz9LW0SNReMIQLfRcSHRhB69NzCXC+wbvH/lrBdAoaUHF4O8Kvp9SxuIh3eAxa\nRkxwFEbflKT5gd84WfvXHEuRFBL28wbj8P0i3gdG0PfkHJ67XCfySYAmzCMHL+7udQOgbJvaNJsx\ngOMDlyApFbRdMxKXMRsJe/ASg6KFSIxPyIUWBT/M/R/z+88kPCichceXcs3VG/8nrzVh/O49Z2rn\nCcTFxNFmQHv6Tx3M6lHLiPsYy/pxqwnyC8S4uDELTy3H58Itot9+yJYGhULB8hWz6N51MP7+QZy7\ncBTHNHZu0ODeREW9oZZtS3r26szsub8xdPBoHtx/jH2z7qhUKkqUMMPz8ilOO56lePFijBg5mPp1\n2xETE8vO3Wvo2asL+/cdzpauH+f+j9n9ZxAeFM6S48u56urN6ycp5df33nMmdR5PXEwc7QZ0YNDU\nISwftRQAh81H0DfQp23/9tl6HxmLkaixcCiX+izkY2A4dk7zCMqk/JYb1o6I6ynt17uHr3Bv9wey\nKhH94kVp4baQIOcbyKpcrGFRSFRfOJTLfRbwMTCcZk7zCXK+zvs0epQFDSg7rD2RqfQkYzN7ICFu\nt3KuIVlKLmxe1TpVsKlblRFt1Qselh9ZRo2G1bl9+U620p+1aApDev9MUEAwh5334ObkztPHvpow\nvfp3523UW1rX706n7m2ZNGM0Y3+cSp+BPQDobNcXk2LGbDu4lm/bDESWZQDadmpB9IectZMoJL5Z\nNIybfeYRGxBO3TMLCT1zjegM8sh6eAfeXH+s+Sz4sAfBhz0AKFjFmhq7JvP+3gtyikKh4LcF4/m5\n7ziCA0PYe3or7s4e+D7204QJfB3MrDELGDhSe6AnNDicIV1GEB8Xj2EBQw6d3437GQ/CgsOzrWHV\nqrl06tQff/8gPDyOc/KkazpfLzLyDdWq2dG7dxfmz5/CwIGjCA+PpFevHwgMDKFq1UqcOLGH8uUb\nAODo6MrGjbu4c+d8Tl8OFRcNw6fPXGIDIqhzZiFhZ64R/fi1VjBlQQOshnfgbap8CjnsQYgmn0pR\nbddk3t/zy5kO1O9o2Nz/Mbf/TCKCwll4fBnX0tk8X35LsnltB7Rn4NQhrBy1lNiPsawdtyqpPTBh\n8anl3LpwM1vtgUKhYPbiKQzqNZKggGAcXPbh6uTO08fPNWH69O/O26h3tKzfjc492vHbzDGMHj6F\njt1ao6evR4fmfTAwNMDZ8zDHj5zG/1UgMxZMxt3tEr/8MAldXR0MDA2yrGfx8pn06jaUAP8gXM4f\nxsnxLI8fPdOE6T9I3TbVr9mGHj07MXP2JIYPHQuAn+9LWjRNP1F3xsmNbZv3cuWmc5bfTWqSfYij\n/dU+RL8Tah8iIo0PcSe1DzF9AMcGqX2IdqtHcmZs3vgQaXX1mDOULQMW8CYonF+Pz+e+y3VCUvUT\nbh7z5PI+VwCqtq5Dl+kD2TZ4UZ6kj0JBkYljCB8zCVVIKGbbNhJz8RIJftq2K+bsOd6sWKP1mX7j\nhuhVqkjo4OFIunqYrl9FrNcV5Ogc+r9ZoHvHNnzfsyvT5i77Ymkko0pMZOEBFzaO6UMJ48L0X7gH\nuxrlKW+ZskBti6MXbet8Qx+7WjwLCGPUusOcrv4/XK4/Ij5BxT8zhvIxLp5vZ22nfd0qWBUrkiMt\nufE7I0Mimf7tbyTEJaBfwIBlzmu47uJNZEhkjrTkKz+PlP7tmKT+7XbHjVxM078N8g9m7rjF9B/R\nN1382Jg4Brf9MVfp57U/rlKpWLRkBq4uFxg0YBS6uroUKJA1G5xa15ewxdlJPz/5DwqFgiXLZ/Ft\ntyEE+Adx1v0wTqfcePQoJZ8GDOpFVNRb6tZszbc9OzFrziSGDRmreb5g0e+cTTU+FBsbR/fOg/jw\nIRodHR1OOx/E1eUC165+2k//UmNVB/YdYcumvWzcsjRb7yWvy2+lb8ozeEhfWtr1IC4uniMOOzhz\n5jzPn/llWRcKBQV+HMP7ORNJDA+l8OKNxF/1JPF1Sr1WWFhh0KM/734fhfzhPZKR9viQ4Xc/kHDf\nJ+tpCgT5lH9tx4ckSRLgAFyQZbmcLMt1gH5AySzGV+axnmrAOmCALMtVgGrA80/H0oqf60mjevVq\n8uyZH76+L4mPj+fQoRN0STXLC9ClS1v27v0HgCNHHGnRQr2yOTr6I5cuXSU2NibT7y9fvgzFi5vi\n4eGdbU6UIGoAACAASURBVG116try/PkLXvi9Ij4+niP/nKJjp9ZaYTp0as2Bfeo5q2NHnbCzT9lN\n0bFza174vuLhg/SDTtmlVM0KhL0IIvxVCKp4FTdPXKJaW+2Vw0+97hMfEwfAi5tPKGpuAkCJilY8\nu/KARFUicR9j8X/wkip2tjnWUqVWZV77+RPwMpCE+ATOHnOjWbvGWmGCXgfz7MFz5MR/b4OabuXK\nqPz9UQUGQkICMW5u6DfRXgVv2LkzHx0ckN+/B0COispTDd/UrESAXwBBL4NIiE/g/HF3GrVtqBUm\n+HUIvg/9SEwaXEumVMVS3L5yh0RVIrEfY3l+35e69ulXIGcVgxqViHsRQPyrIIhP4O2pCxRqnfXd\nPvo2FdApVpRojxs51pCMSa3yvPcL5sPLUOR4Fa+OXcaqXfq/zea3XjxafxJVbJzms6i7L4gJVufT\n20evUejrotDLuekpUbM8UX7BvH0ZSmK8isfHL1OurbaW+FSTgjoF9CEpr0o1r07Yg1eEPVAP6sZE\nvUdO1M7H7FChZkWC/QIJeRWMKj6BSyc8qNemgVaYe153iUuq109uPsLUwhSAQN8AgvwCAYgMieRt\n2BuMTIyyrSHZzvlp7NxJOqWxcx07tWb/viMAOBw9rbFzHz/GoFKpADAw0NcMGAModXQwNDRAqVRi\naGhIUGBwtnRVqFmRQL9Agl8FkxCfgMeJi9RP827uet3RvJvHNx9hapEyiHDH8zYfczponQbjWhX4\n4BtM9MsQ5HgV/g5emGdQfiv/1punG06SGBuv+Uz1MU4zyaE00EXOeXFJoydIoyfAwQvzdul3klT+\nrQ9PN5xAlUoPgHn7unx4GcK7R6/TxckuubF5siyjp6+Hjp4Ounq66OgqiQzLnk2uUduGF36vePXC\nn/j4BE45ONOqg71WmNYd7Djy10kAnE6cpVGz+gBU+KYcly6ofYOIsEjevnlH9ZrqHWUFChoydOQA\nNqzYmi09yRjVrkC0bxAxL9R5FOJwCbP29dKFKzelLy/WHycxJj6Db4ESPZoSfNQzRxqSqVarCq/9\nXuP/MoCE+ATOHHPFvp32joDA10E8efCMxDRtdkJ8AvFxam16+rpIipy5zMm+XrKdOXToBJ07t9EK\n07lzG/YlTY4eOeKIvb26/fbxuUdgYAgA9+8/Rl9fHz099Q4yb++bBAWF5EgTqPPpoyafEghx8KRY\n+/R1qeyUfrxafyzTfCreowkhucynCjUrEuQXREiSzfM8cZG6beprhbmXxuaZZNgeRPAmB+2Bbe1q\nvPBNqUsnj56hTbq6ZM/hgycAOH3clcZJdUmWoUABtb03MNAnPj6e9+8+UKhQQeo3qs3fe9V+cnx8\nAu/evs+Sntp1a+Cbygc/evgUHdL54K04eED93ccdnGhm/3kf5/pVH4KDQ7OkISNK1CzPm9Q+xIn0\nPkRcKh9C1zDFhyidxz5EaqyT+gkRSf0EnxNe2KTpJ6Re8KRXQLvNzi26VSuT8DoAVYDaB//o6oZB\ns6ztRNUpU5rYWz6gSkSOiSH+6TP0G9b/fMRcULdmdYoYFf6iaSRz1y8Q6+LGlDQriq6Oknb1KnP+\n9lOtMJIEH5Lq9vuYWMyKFkr6XOJjbDwJqkRi4xLQ1VFSyDD7O2iTyY3fqYpPICFOPVGnq6eLQiHl\nWEeylvzi5wFUrVWZ134Bmv6t6zE3mrfTLsPJ/du0bWVe8CX88cKFC9GkST127/obgPj4eN68eZct\nXV/KFmeV/OY/1EnzPo4cPkWHzq20wnTs1JqD+9X5dMzBieZpxof8/NKPD334oJ7o1dXVQUdXJ0v2\n+UuNVV3yvEpkZPb88S9Rfr/5pjzXvG9qnnt4eKcbJ/wcygqVSQzyJzFY3TbFe7ihV0+7Xuu37kys\nkwPyh6Txobcpf7uyXCUURUyI97mWrXQFgvzIv3nUVUsgTpbljckfyLL8QpbltZIklZEk6aIkSTeS\nfhoDSJJkL0nSOUmS9gN3kj5zkCTpuiRJ9yRJ0iydlyRpmCRJjyVJOi9J0hZJktYlfW4mSdJhSZKu\nJv0k1/bJwHxZlh8maUmQZXlDUpwukiRdkSTppiRJrkk7VZAkaZYkSZslSXIGdkuSZCNJkrckSbck\nSbotSVLF7LwQS0tzXr9OWSXl7x+IpWWJTMOoVCrevn2Hqalxlr6/b99uHDp0IjuSNFhYlsD/daDm\n9wD/ICzSaUsJo1KpePvmPSamxhQoYMiYcf9j8cK1OUo7LUVLmBAVkLLC8k1gBEVKmGQavkGfFjw4\nr14lEPDgJVXsa6JroEdB48JUbFSVoklObE4wMy9GSECKoxASGIaZudknYmijp6/HNsc/2XxiHc3a\n5fx4nrQozMxIDE3pzCaGhqI009altLZGWbIkxmvXYrxhA3r187ZjZWpejNCAFA1hgWEUM8/au37+\nwJd69nXRN9DHyNgI20Y1MLPM+ntNi24JUxKCwjS/JwSFoVsivZbCbZtQ5vh6LNdMQ8c8qUMhSZSY\nMpyQxdtynH5qDM1NiPZPKb/RgREYmmvX4aLVSlPA0pRA18yPn7DqVJ+ouy9IjMv5CsmC5sa8D4jQ\n/P4+MIJC5untSfXBrRnksZwm0/rhPmO3WmM5c5Bluu6dTF/HedQekbtjgkzMTQgPTMmj8MBwjM0z\nr9ct+rbm1vn0E1HlbSuio6dD8IugbGuwTGPn/DOwcxaW5mns3DtMkmxwnbq2XL56mktXHBk3Zjoq\nlYrAwGDWrtnK3QcXefzMi7dv3+Hm5pEtXabmpmneTRgmn6hLrfq24cb569lKI6sYWBjzMZX9/RgY\ngYGFdj4VqVYaQ0tTgl3Sl1/jWuVp4b6EFucWc3vyttzt9shAT0xgOAYW2mXYqFoZDC1NCEmjR1lA\nn/KjuvB4WdZ333yK3Ni8Bzce4uN1mwPX9nHg+j6uu9/g1dNXn4+YCnOL4gT6p0yqBQUEU8JC226W\nMDcjKCmMSqXi/dv3GJsU5eHdx7TuYI9SqaRkKUuq2VbBwkpd9sdOGcn2DXv5+DHzhRWfQt/chNhU\neRQbEI5+mrpdqFoZ9C2LEe6S+eRyiW6Ncj3xYWZuRpB/6jY7lOLZaLNLWBbnr7M7cbx+hF3r9mV7\ntwck+3Gp7UwgVlbmGYT5tK/Xo0dHfHzuERcXR16QPp8i0E9TftX5ZPrJfCrerTEhR7Nn49Jiksbm\nRQSGY/oZm3czA5tXIYftgblFcQIDUupSYEZ1yaI4gf7q71WpVLxLqkunj7sSHR3D5XsueNw6zZb1\nu3kT9RbrMlZEhEeyZO1sTrgdYOGqGRhmcbWxhUUJAl6n/A0BARm0TRZpfPC37zAxUZeZUqVL4nbR\ngeOOe2nYKG+OGAQoZG7Mu7Q+RIn0PkSNQa0ZfHE5Taf1w31mig8hI9N9z2S+OzWPOrn0IVJTpIQx\nb7T6CeEYZaCr0cA2/Oa+io5Tvuf4rF15lr7SrBiq4BQ7owoNRWlWLF04A/vmmO3eivH8WSiKq8tX\nwtNnGDRsgKSvj6KIEfq1a6IskXP/N78REvkec+OUSZYSRQsTEqk9ATiicxNOXblP2yl/MmrdYab0\nVQ+ktq5dCUN9Xdr8toH20zYxqE09ihQ0zLGW3PqdphbFWOK0ig2Xt3Js45Ec7/aA/OXnQUb921DM\nzNOX4czQ09dju+NGtpxYn27CJCt8CX+8TBlrwsIi2LBxCRc9j7N23QIKFMhe+fnatji/+Q8WFub4\n+6cZH7JIm08l8H+d0lZqjw/9xJIMxocUCgXunsd59Pwy5895cv3a53cY5Kexqi9Rfu/ff0zjJvUx\nNimKoaEBbdvaYVXSIlu6FCZmJIalGh+KCEUy1W5fFJbWKC1LUnj+Wgov3IBOzaTxIUnCcPDPRO/O\n+GQMwZcnEfk/+fO1+DcnPmyAzHpOIUAbWZZrA32B1PuA6wO/y7KcfLj9D0m7ReoCoyVJMpUkyRKY\njvoIrTZA5VTxVwMrZVmuB/QEkpcwVgMy8yA8gIayLNcCDqKeJEmmDtBNluXvgRHAalmWaybpydYS\nUvUmGG3SznBnJUxm9O7dlb//Pp4dSdlLN5MwU34fw5/rd2hm73NNRotqMnkHdbo3xbpGOdw2qyd8\nHl28zf1zNxlzZA4D1/yK340nJOZi4C03+QHQs34/hnUcyaxf5jNm9i9Ylbb8fKSckrYsKZUoS5Yk\ncuxY3syZg9GkSUiFCuVZchm8miyv8L5x4QZXz11jpcNypq77jQc3HqJKUH1RMe/OXeFZiyH4df2F\n6Eu3sFg8AYCi/Tvx3v2a1sRJbshYiqwVwHb2AHxm7cv0O4wqWVHjj35cn5y7yZiMy2/6cHd2ubK7\n6QQuLTxIvdHqc98VOkos6lXC+dcNHP52DuXa16VkE5uca8moYmdSXpr2sKN89Qoc36R9KmLR4saM\nWjmWPyeuzdHqzay8j0/l3/VrPjSs14EWdj0YP2EE+vp6FC1qRKdOralRzZ5vKjSmQIEC9Omb3W3u\nWa9MzXvYU6F6BRw2HclmGllU8rm6JElUmzOQu7P3Zhg/8uYzztlNxr39H1Qc3Q1Fbs90z1CP9nOb\nOQO5l4Gebyb14vnm06iiY3On4VNSslgMLctYYF3Bmv71B/J9vQHYNralWoNquRaQVR/in/3HCQoI\n5qjrHn6fN4EbV31ISFBRpVolSpe1xsXxXPa0fE4X2mWm4pzBPJ21O9OvMKpdAdXHOD48zN5kUHop\nuWuzgwNC6NtqCN0a9aVzn/aYFMvawhNtDek/y66vV6VKRebNm8KoUVOznX7mwjLQlSafKswZwrNP\n5FPhPMqnjMgsn5r1sKNcJu3BryvHsWHimuy3B1moy5nlkW1tGxJVKhpVa4tdnU4M/3kg1qWt0NHR\nwaZGZfbtOESXlt8R/eEjI0b/kO47MpST07qNTHBQCDVt7GnZrDvTpy1k07blFCpcMEvpZkFYBrrS\nB7u925VdzSbgmdqHUCqxrFsJp9EbONRzDuXb1cU6Fz7E53Rl5E947XFhsd1YHBftp+WvPfImbbWA\n9MmneTExHl4E9/yO0EHDib16HePpUwCI9b5GjNdlim1ah/Hs6cTdvQ+5XCCQn8ioJqbNLqerD+ja\nqBrOi0ayblRP/tjhSGKizF3fQBSShPPikTjO+5E9rld5HZrz3eq59TvDA8OY3H4sY5qPwK5nC4rk\n8MitZDXptXwdPw9y31b2qN+XHzqOYOYv8xg7e1S2+7dfwh/X0dHBtqYN27buo1mTrnyI/si4Cdm7\n1+Zr2+L85j/kRs+U30fz57qMx4cSExOxa9KVapWbUbtODapU+fxa4vw0VvUlyu/jR89YtXITx47v\n4rDDDu7efUhCQjYXP2ZlDE2hRGFRknczxvJh5RwK/jwJqUAh9Nt3J/7GZeTwnO8SFQjyE1/tcnNJ\nktZLkuQjSdJVQBfYIknSHeAQkPoGX29Zln1T/T5akiQf4DJgDVREPTniLstyhCzL8UnfkUxrYJ0k\nSbeA44CRJEmf299bEjiTpGcS6kmbZI7Lspy8t9QLmCZJ0m9A6VSfp/47f5Ik6ZokSddUKu0VLv7+\ngZQsmeIYWFlZaLYkZhRGqVRiZFSYiIjPO33Vq1dBR0fJzZtZPy88NQH+QVqzypZW5gSl0ZY6jFKp\nxKhIISIjoqhbz5bZcyfjc+88I38ewviJI/nxfwNzpAMgKiiCopYpq2CKWJjwJoNVNpWaVKPNqB5s\nG74UVapV8a7rHVjWcQobBy4ASSLUNzBd3KwSEhhKccvimt+LWxQjLDjrA+TJq0UDXgZy0+sWFatV\nyLGW1CSGhqJItcNDYWaGKkxblyo0lFhPT1CpSAwKIuHlS5RWeXe5Y1hgmNYujWIWxQjPxurYA2sP\n8nP7UUzt/zuSBP6+AZ+PlAnxQWEpOzgAHfNixIdEaIVJjHqHnHS+dNTfThgk5YVhzSoYD+hMebcd\nmE0ZhlH3VphNHJJjLdGBERSwSim/BSxMNMdXAegUMqBIZWvsj/xBR+9VmNauQJOdEzQXnBtamNB4\n+zi8R2/kw4ucH2sCSaszLVNWtxWyMOFDcOYr1h4fu0y5pGON3gdGEHDlITGR70mIiePFOR/MqpXJ\nsZbwoHCtbfumFqZEBkekC1e9SQ2+HdWLJcMXaI4ZADAsZMiUHX/w17J9PLn5OF28rOCfxs5ZWZmn\nO5YqvZ0rTGQaG/z40TM+RH+katVvsG/RhBd+rwgPiyAhIYETx8/QoGHtbOkKDwpL826KEZHBu6nR\nxJZeo3qzcPg8rXeTl3wMiMAwlf01tDAhJiilzOgUMqDwN9Y0PTKdNldXY1y7Ag12TdRccJ7M+ycB\nJETHYFQ5S6dbZkpMGj0GFqbp9Bh9Y03jIzNodXUNxrUrUH/XRIrYlqNorQpUnf49ra6uodyPHag4\nujtlfsjetvHU5MbmNW7XmIc3HxITHUNMdAzXzl2jSq3Kn4+YiqCAYM0uDQBzyxKEpJmwDQoMwTwp\njFKppJBRIaIi36BSqVgwfQVdW3zPyEETMDIqzIvnL6lVtwY2tlU4d/0EB09uo0z50ux12JQtXbGB\n4einyiN9S1PiUuWRspABBStbU+vITBpdXYdRnYrU2D1Zc3E2QPHuTXK92wMgJDAEc6vUbbYZodlo\ns5MJCw7n+SNfajXI/lGZ/v5BlNSyMxYEBASnCZO5r2dlZc5ff21m+PDx+Pq+JK+IDYxIk08mxAWl\n2BllIUMKVram5pFZNLy6HqM6Fam2+7d0+ZTb3R4AEWnaAxML0wxtXvUmtnw7qjeLh89P1x5M3TGd\nA8v25qg9CAoI0VqdaWFZgpCg0DRhgrFIWmmrVCopnFSXuvbsgPvZSyQkJBAeFsn1K7eoXrMqgQHB\nBAWE4HNDfVeY0wlXqtlmrY4HBARhWTJlVa+lZQY+eECatslI3TbFxcVr2iifW/fw831JhQra9jin\nvA+MoHBaH+ITq94fHb9M+bYpPoR/Kh/CL5c+RGreBEVQRKufYMrbT+jyOeGFTZu82wmjCg1FWSLF\nzijNzEgM024L5LdvIV59XFz08VPofpPqfsZd+wgd8iPhYyeBJJHwKvdHMeYXShgXIigy5Xih4Kh3\nmqOskjnqeYe2db4BwLacFbEJCUS9j+b01Qc0sSmLrlKJiVFBapa34l4Odvcmk1u/M5nIkEheP35F\n5fpV0z3Lupb84+dBRv1bs2ztcEzdv73hdYtK2ezffgl/3N8/EH//IM3ugWMOp7G1zd5k69e2xfnN\nfwgICMLKKs34UFBG40MpbWXy+FCdurbMmjuZW3fPMeLnIYybMILhPw3Qivv2zTs8L16hVZvmn9eS\nj8aqvkT5Bdiz+xDNm3ajY7vviIyIyt79HkBieCiKYqnGh0zMkCO0fWA5PJT4q0njQyFBqPxforCw\nQlmpKgYdemD050EMB41E364thgO+wD21AsG/xL858XEP0Iz+yLL8C9AKMAPGAcGALeqdE6kP8NTc\nTihJkj3qiYxGsizbAjcBAzKez0xGkRS+ZtKPlSzL75L0ZHaJwFpgnSzL1YH/JaWRTo8sy/uBrsBH\n1BMlLdN+kSzLm2VZrivLcl2lUtvRu3bNhwoVylKmjDW6urr07t2FkyddtMKcPOnCgAG9APj2246c\nP3/pE39qCn36dMvxbg+AG9dvU758aUqVLomuri7f9urEacezWmGcHM/yXX/1iqluPdpzwf0yAB3b\nfoetjT22Nvb8uWEnK5b9yZZNe3Ks5ZXPM8zKmGNS0gylrpJaXRpzz0V7s46VTRl6L/iRrcOX8j78\nreZzSSFRIMnBtqhcCsvKpXh08XaOtTy89ZCSZa2wsDZHR1eHVt1a4uHslaW4hYsUQldPvdq5iLER\n1etVw+9xzi9tTU38o0coS5ZEYW4OOjoYtGxJ7CXtshLr4YFezZoASEWKoGNtrb4TJI945PMYqzKW\nlLAugY6uDvZd7bjscjlLcRUKBYWLqucjy1YuQ9kqZbl+IedbumPuPEavjCW6JUuArg5GnZrz/qy2\nFqVZysrdQq0aaC4+D5y4lGf2Q3jWciihi7bx1uEsoct25lhL5K3nFCprTgFrMyRdJdbdGhJwJuVv\nS3j3keM2I3CsPxbH+mMJv/EUzyHLifTxRdeoAE33TOTOwr8Iv5qzwf3UBPs8p2gZc4yszVDoKqnU\ntSG+aY4wKVImZfCnTKuaRPmpO5kv3W9jWrkUOgZ6SEoFVg0qE/lE+7Li7PDM5wnmZS0wsy6OUleH\nxl2acs1F+z6iMjZlGb7wZ5YMW8Db8Deaz5W6OkzYPJULh89z2TFrNjEj1HauDKU1dq4zjmnsnKPj\nWb7v/y0A3Xt04IK7ur6XLl0SpVJ99ZS1tSUVK5blxcvXvHoVQN36NTFMusTWzr4xj1JdgpgVnvo8\nwaKsJcWT6lLTLs246nJFK0xZm3KMWPgzC4fN402qd5PXRN16RsFy5hQopS6/Vt0bEeSsXX6dbP6H\nS70xuNQbQ+SNp1wZvIwoH191HKXazTAsWYzC5S2JfpW7nVTJegyT9FhmoOeMzU+crTeas/VGE3nj\nKd6Dl/HG5zmXus/WfP58y2merHHAb3vOLvmF3Nm80IBQajSojkKpQKmjpHrD6rzM5lFXd27ep0xZ\na0qWskRXV4dO3dty1sldK8xZJ3e+7dsZgPZdWnHZ4yoABoYGmmN3mtg1QKVS8fSxL/t3/kPT6u1p\nUacL/ToPw+/ZCwZ0/1+2dL27+YwC5SwwSMqj4t0bE3Ym5Xxg1buPeFQdjle9UXjVG8Xb60+4PWgJ\n73ySrlmTJIp3aUiwQ+4nPu7deoh1WWssrS3Q0dWhXbfWuJ/J2vcWtzBD30DtjhYuUhjbejV48Sz7\nAwfJvl7p0im+3qlT2r7eqVOu9O/fE1D7eu7uartWpIgRR47sYMaMJXh55e0Zy+9uPsWwnAUGpYoj\n6epQvHuTNPkUjWfVYVyu9wuX6/3C2+tPuDtocZp8akRIHuST2uZZUNy6ODq6OjTp0izD9uCnhSNZ\nPGy+Vnugo6vDpM1TcT98Lsftwe2b9yhTrpSmLnXu0Q5Xp/NaYc46udOzXxcAOnRtjddFdV0KeB1E\n42bqO2wMCxhQs24Nnj/xIywknED/IMpWKA1A4+b1efIoa1cJ3rx+h3Llymh88B49O+GUzgd3o993\nah+8a/f2XExqm0xNjVEk3UdTuow15cqXwc8vb3bkBPs8p2jZVD5El4Y8T+NDFE3lQ5RN5UO8uHCb\nYql9iIaViciFD5Ga1z7PKFbGHOOkfoJtl0bcT9NPKFYmZfCycstahPvlfAA9LfEPHqJT0gqlhdoH\nN2zdkhgP7bKoME2ZMDJo2pgEvyRbolAgGanvpNEpXw7dCuWI9b6aZ9q+NjalLXgZEol/WBTxCSrO\nXH2IXQ3tQXELEyOuPFS/j+eB4cTFJ2BcuAAWJkZ4P3qJLMt8jI3jzvNAyn7iaKrPkRu/08TcFF19\ndXtQ0KgglepWJuBZzhdo5Sc/D+DBrYdYp+rftu7WkovOWbOnafu3NepVwzeb/dsv4Y+HhITh7x9I\nhYrqyQY7+8Zal01nha9ti/Ob/3Dj+h3KlU95H9/27ITTKe33cdrxLP2+V+dTt+7tuZg0PtSp3ffU\nrNaCmtVasHHDTlYu38jWzXsxLWaCURH1GICBgT52LRrz+PHn28r8NFb1JcovQDEz9YR+yZIWdOnW\njn+yeYS96ukjFBYlURRXt026TVsSd027Xsd5e6BjkzQ+VLgISktrEoMDiV49nzcj+vJ2ZD8+7v6T\nWHdnPu7dnM03IxDkH3J9QXc2cAMWSJI0Upbl5MPiCiT9vwjwWpblREmSBgOZXWReBIiUZTlakqTK\nqI+2AvAGVkqSZAy8Q32kVfJWB2dgFLAUQJKkmrIs30r6/YgkSR6yLD+WJEkBjJVleUVSOsne+ODM\n/iBJksoBz2VZXpP07xpJf2eWUKlUjB07nRMn9qBUKtm16y8ePHjMjBnjuX79DqdOubBz519s376K\ne/cuEBERxaBBozTxHz3ypHDhwujp6dKlSzs6dx7Aw4fqC5p69epMt26ZSs+StskTZnPYYQdKpZJ9\new7x8METpv4xhls37nLa8Sx7dv3Nxq3Lue5zlsjIKIYNGZvj9D5FoiqRwzN28L/d01AoFVz5+xxB\nT17TflxvXt15zj3X63Sd2h/9AvoM2aDWEOkfxrYfl6HU1eHXQ7MAiHn/kb3j1uXqqCuVKpGVf6xl\nxf7FKBVKTv51Gt/HfgyfOISHPo/xcLlEZdtvWLhtDoWLFKJJm0YMnzCEAS1/oHTF0kxeNI5EWUYh\nSexddwC/J3kz8YFKxbvVqzFeuhQUCmJOn0bl50fBoUNJePSI2EuXiPP2Rq9uXUx37kROTOTdxo3q\nFWh5RKIqkfXT/2TB3nkolEqc/3LmxeOXDJowkMe3H3PZ5QqVbCsxY8t0ChcpRMPWDRg0fgA/tR6B\nUlfJ8sPLAIh+H83i0UtzlU+oEgme8yfW2+aBUsGbf5yJe/qSYqMHEHP3Ce/drmAyqBuFWjZAVqlQ\nRb0jcMqKPHoT2siqRG5O20nzA78hKRX4HnTn7WN/bCb1JMLHl0DnzM9Or/BDWwqVLUHVsT2oOlbt\nuF3ot4jY8Jzlm6xKxH36LrrunYxCqeD+X+5EPPanwYSehNz2xdflBjWGtMW6qQ2JCSpi33zAdZx6\ntXfsm2hubTlNn5NzABk/Nx/83G7lSAeoy8v2GVuYtnsmCqWS83+78vrJK3qP/47nt59y3fUqA6YN\nwaCAAeM2qE8bDAsIZenwBTTq3IQq9atSuGhh7Hqp55s3TFzDi/u+n0oyHSqViokTZnPEYSdKpYK9\ne/7h4YMnTPtjLDdv3NHYuc1bl3PTx43IyCh+GDIGgIaN6jJuwv+Ij09ATkxkwriZRIRHEhEeyTEH\nJy54HichQcVtn3vs3H4w2+9m64xNzNg9C4VSwdm/XXn15BX9xn/Ps9tPuerqzaBpQzAoYMjEDb9p\nMjNKyQAAIABJREFU3s3C4fMBmHdoIVblS2JQ0IAtl7ezfvJabl3I/P6YTyGrErk9bSeNDkxBUip4\neeA87x75U3lyL6JuPSfoE+XXpP43VPy1K3J8AnKijM+UHcRFZO9iyYz03J22k4YHpiIpFbw6cJ73\nj17zzeReRN3yJdj5y52BnZbc2LyLpzywbWzLJpc/kWW45n6NK65XPp9oKlQqFbOnLmH73+tQKpT8\nc+AYTx89Z8xvI7hz6z5uZy5waN8xlm2Yi6u3A1GRbxj30zQATIsZs/3vdciJMkGBIUz8eXqevRdZ\nlcjjqdupefB3JKWCgAPn+PDoNWUn9+GdzzPCznw6j4o2qkJsYDgxudzhBup3tHjaCtYfWIFCqeD4\nwVM8f+zLiEnDuO/zkAvOnlS1rczy7QswKlqY5m2aMGLSMHrbD6RsxdKMnzkKWVYfUbBn4wGePsza\nwHVaDePGzeDEid1Jvt7fPHjwhOnTx3Pjxm1OnXJN8vVWcveuO5GRUQwcqPb1RowYTPnyZZgy5Vem\nTPkVgC5dBhIaGs78+VPp27cbBQoY8vTpZXbsOMj8+auyrEtWJfJk6jZqJOVT4IFzRD96TZnJfXnn\n84zwM58eKMnLfEpUJbJtxmZ+T7J55/4+y+snr+ibZPOuuXozcNpQDAoYMkHTHoSxePj8pPbAhsJF\nC9MiqT1YP3ENftloD1QqFbOmLGbXoQ0oFAoO7T/Gk0fPGTtlJHdu3eeskzt/7XNgxYZ5uHkf403U\nW0b/qD6qaM/2v1iyZjZOHv8gSRL/HDjGw/tqX3zW1MWs2rgAXV0dXr7wZ/KvM7OsZ8qkORw6ug2F\nUsn+Pf/w6OFTpvw+mls37uJ02o19uw+xYfNSvG+5EBX5hh+HjgOgUZN6TPl9DAkJKhJVKiaOnUFU\npHrQdOacSfTs3YUCBQy5/eACe3cfyvC89cyQVYmcn76L7nsmI6XyIRqO70nwnRQfolRTGxLjVcS8\n+YDz+BQf4sbW0/Q7OQdZlvE7lzsfIjWJqkSOzdjJ8N1TUSgVXP37PMFPXtN2XC9e3/Hlvut1Gg9u\nS4Um1UlMSODjmw/8NSEPzy1XJfJmxRpMVy4BpYLok6dJ8PWj8PChxD18RKzHJQr2/haDpk3Uq2rf\nviVq/iJ1XB0lxf5cDYD8IZrI2fO/+FFXk2Yu4urN20RFvaVV9wH8PGwgPbu0+yJp6SgVTOnbmpFr\n/iExMZFujatTwbIYG457ULW0Ofa2FRjf0545e8+w7+w1kGD24A5IkkRfu1rM2H2annN2gAxdG1ej\nUsnin080E3Ljd1pVKMnAP4aS3CCc3HyMV49y3ofLT34eqPu3y/9Yw6r9S1AoFJr+7Y8Th/LA5xEe\nLpeoYvsNi7bNpXCRQjRt04jhE4bSv+VQylQszW+Lxmv6t3ty0L/9Ev44wOQJs9m6bSW6err4+b7i\nl5GTPyUjQ11fwhZnJ/385D+oVComT5zNPw7bUSqU7NvzDw8fPmXq72O4efMOTo5u7N19iI1blnHt\nliuRkVEMT3ofmVGihBkbNi1BqVSgUChwOHIaZ6fPH7f6pcaqtu5YSZNmDTA1NebuIw8WzV/N3t2H\nPhnnS5XfPfvWY2JSlPj4BCaOn0VUVDb7/4kqoreuptB09fhQnNtpEl/5YdBvKKqnj4i/domEW97o\n1qyL0aqdkJhI9O6NyO/zbnxIkHO+3m0Y/02knJyLnuPEJMkCWAk0AEJR757YiPruj8NANHAO+FWW\n5UJJOzwmyrLcOSm+PuAAWAGPUO8WmSXL8vmki84nAgHAAyBCluXfJUkqBqwHqqCe6Lkgy/KIpO/r\nDMxGPQEjA6dkWZ4kSVK3JJ3+qI/UqifLsr0kSbOA97IsL0uKPxUYAMQDQcD3siyn36eahIFBqXxT\nfg119D4f6F9iSLG8226eW7zjc9+Bz0uOVMw/5/wOepbzCwXzmtWGn9rk9e9y5132z3z/kgTp5J93\n46F4//lA/xJO4Tk79u9L0Mo0j841zyMGx+bdXT+5RZGP3Lx1ujk/SzyveR6Tv9qmTYryX1uChomK\nnK+6zWseROX9XRc55bRR/a8tQYv1BnlzKXtecP1D3h0Zllvexn34fKB/ielF80+Z8Vfk4p63L8BY\ny7zbIZJbzI7n7r63vCbhTpbX/H1Rhgw5+bUlaBFP/unDBSbkbtFJXnL/Tf6xv7qKzNbafh0+xOfN\nHXR5QX4aK/o3xys/x9e8nDkj/NpZf20JGowPn88/gxD/ASaX+S5/FbY8Yonfga9STv7NHR/IshwI\n9MvkcY1U/56aFP48cD5V/FigQybx98uyvFmSJB3gKOqdHsiyHIb6wvSM9JwE0nlJsiwfA45l8Pms\nNL8vBBZmokcgEAgEAoFAIBAIBAKBQCAQCAQCwb/MV7vc/AswK+kC87uAL+qdIQKBQCAQCAQCgUAg\nEAgEAoFAIBAI/g/xr+74+JLIsjzxa2sQCAQCgUAgEAgEAoFAIBAIBAKBQPB1+c9MfAgEAoFAIBAI\nBAKBQCAQCAQCgUDw/yP555ao/wb/paOuBAKBQCAQCAQCgUAgEAgEAoFAIBD8H0dMfAgEAoFAIBAI\nBAKBQCAQCAQCgUAg+M8gJj4EAoFAIBAIBAKBQCAQCAQCgUAgEPxnEHd8CAQCgUAgEAgEAoFAIBAI\nBAKBQPAVSUT+2hL+U4gdHwKBQCAQCAQCgUAgEAgEAoFAIBAI/jOIiQ+BQCAQCAQCgUAgEAgEAoFA\nIBAIBP8ZxFFX/0cxMyz6tSVosJDzTzEsqND72hK0iI5UfW0JGt4mxnxtCRpC35p+bQkaQnWlry1B\nC+XXFpCK0pLh15agITYh/mtL0PA+Me5rS9DCTIr92hI0KKT8s603QvXha0vQEJ2Qf+wvgEIv/+ST\niU7Bry1Bg0LKP+3Ba6X+15agRXBCxNeWoOFjQv6xebqK/OMDR+ef4ouxrOSllH/ayrjo/JNP+Q2d\n6i2/tgQA9l5vyYA647+2DA0F89EwS7Qq/9g8Wc4//oOUj9psgCL6Bb62BA3v4j5+bQkaJPJPPsn5\n7PihxJj8pUcgyK/knxZZIBAIBAKBQCAQCAT/p8lPkx75jYQ7bl9bgob8MukhEAgEAsF/CTGllbeI\no64EAoFAIBAIBAKBQCAQCAQCgUAgEPxnEBMfAoFAIBAIBAKBQCAQCAQCgUAgEAj+M4iJD4FAIBAI\nBAKBQCAQCAQCgUAgEAgE/xnEHR8CgUAgEAgEAoFAIBAIBAKBQCAQfEUSv7aA/xhix4dAIBAIBAKB\nQCAQCAQCgUAgEAgEgv8MYuJDIBAIBAKBQCAQCAQCgUAgEAgEAsF/BjHxIRAIBAKBQCAQCAQCgUAg\nEAgEAoHgP4OY+BAIBAKBQCAQCAQCgUAgEAgEAoFA8J9BTHx8Zdq0seP27XPcu3eBiRN/TvdcT0+P\nPXvWc+/eBS5cOEbp0iUBMDEpypkzBwkLe8DKlXO04vTp05Vr15y5evUMx4/vxtTUOEtamrVshJPX\nYVy8j/LT6MHpnuvq6bJqywJcvI9yyGknVtYW6s91dVi4ZgYn3A9y/Nx+6jeuo4nTsXsbjp8/wKmL\nfzFpxugsv5e0lLWrwXC3pfzovpwGI7uke16zf0uGnlnIYMf5fP/PdEwrWmo9L2xpytj7W6n3U8cc\na0imrn0dtp3fyo6L2+n7c590z6s3qMZ6x3Wc9j1Fs45NtZ4NnzaMza6b2Oq2mZ9nj8y1FsPGdbE6\ntp2SJ3ZS5Ie+6Z4X6tqWUucOYfnXRiz/2kihHh00z5TmZphvXITV0W1YHdmKjmWJXOtpaF+Pgxd2\ncchjLwN/+S7d85oNarDTaRMXX7jSolNzrWceL13Z5byFXc5bWLJjXq61GLeoSR2P1dT1WkvJUd0z\nDVesc0OaBf1DIdvyAEg6SiqtGUXtc8upc2EVJX/tkWst1vY1+O78UvpfXE6tn9OXX5sBLenrspA+\nTvPpcXg6xknlt2L3xvRxmq/5GfliN6ZVS/1ntKSlkp0tk84uZ/L5ldiP7JruecP+rRnntJixjgsZ\neWgmxStY5TrN/GSDU5Of7EzRFjWpdXENtS6tw2pU5vXBtFNDGgcepmByXdLVocLKX7B1W4Gt63KM\nGtnkWgtAEfta2F5cS03P9Vh+Qo9Jp0Y0DDhCwRopesqtHEWNsyup7rIiT/Q0sq/PPxf3csRzP4NH\n9U/3vFYDW/ac2YrXSzdadrJL97xgoQKcun6YSfPH5ih9+1ZNueB9Eo/rp/ll7PB0z/X0dPlz2zI8\nrp/mhMsBSlqntI1VbCpx/Mw+3C4dw9XzKPr6egB069kRV8+juHgcYe+hTRibFM22LpMWNanvuZoG\nl9dS6tfM7a9Z54bYBx+isG05AIr3bErds0s1P3aBf1HIpky2009NPfu67Di/lV0Xd9Avk7r0p+M6\nzvg6pqtLP04bxlbXzWxz28IvuahLbdrYcfPWWW7fOc+ECem/R09Pj12713H7znnOuztQqpTazrRs\n2RQPzxN4ezvh4XkCO7tGmjinnQ5y89ZZvC474nXZETMz02zrsrCvQdeLS+nmuRybUenbg2RKdarH\ngIC9mNQoq9ZrXIjWh6bR98lW6s0flO10M6K+fT32XtjJfo/d9P+lX7rntg2qs9VpI24vnLFL4z8U\ntyzO8v2L2XN+O7vPbce8ZPb9mRatmnLx6iku3XBiVCZ1aeP25Vy64cQp14OULKVdl0447+e813Hc\nPB00denwyZ1cvHoKl4tHcLl4BNNiJl9VTzI7D6zj3KVjWdaSmnJ2NfjJbSkj3JfTMAN/vFb/lgw7\ns5AfHOczIAN/3MjSlAn3t1I/D/zxqna2zDq7itnn19B2ZLd0z1sN68QMlxX8fnopY/ZNx8SqGACV\nGtkwzXGJ5mfNo73Ytq2XKy2Gjeti5bAdq+M7KTI0Y3/c2i1zf7zEn4uwPLINy8N544973vOl28yt\ndJm+he1OV9I9D4x4y/AVB+k7fxe95+7g4p3nAMSrVPyx05Fec3bQY9Y2tjldzrWWT/HHghU079SP\n7gNGfNF0krG1q8VKt/Wsdv+TbiO/Tfe80/CuLHddyxKnVfyxfw7FrMwAKF21LHOPLmKZyxqWOK2i\nUecmudZS3a4WS9zWssx9PZ1Hpvdl2g/vwiLX1cx3WsGU/bMwTdKSjEEhQ1Zf2cKgOentQ05o3KIB\nxzwOcMLrb34YNTDd89oNa3LQeQfXX1+gdecWms+/sanI7pObOeK+l0Nuu2nXrVWO0m/dpjnXb7py\n67Yb4yakLw96enrs2LWGW7fdcDt/hFKl1H2AOnVq4OF1Eg+vk3hePkXnLm01ce7cv4CX92k8vE5y\n/mLWbV7LVs3wuuaE901nRo/7MQMtumzZsRLvm844nf0b6yQt1qWseBnkw7mLDpy76MDSlbM1caZN\nH8ute+fx87+RZR2gbgs8rjri9Ym2YNP2FXjdcMLR9SDWadqCk84HcPc6wTnPY5q2YMofY7h+141n\nr69lS0te+zKFChXU+DBelx158fIGS5bMyLKe1m2ac+PWWXzunGN8JmVm1+61+Nw5xzn3o5oy06Jl\nUy56HueK92kueh7X8q169+7CFe/TXL5ymqPHdma5D5ff3k0yunXqU3TTHopu2YdB7+8zDKPXtAVF\n/txFkQ07KTRpOgDKchUwWraBIht2UmTddvSatcgwruDLIf9H//ta6PxbCUmSVAJYCTQEIoE4YIks\ny0f/LQ0ZaDoGFJdludFnA38BFAoFq1fPo1On/rx+HYin5wlOnnTh4cMnmjBDhvQlKuoNNjbN6d27\nC/PmTWXgwF+IiYll9uzlVK36DTY2lTThlUoly5bNolatVoSHRzJ//jRGjhzCvHkrP6tl5qLfGNr7\nF4ICgjnsvJuzThd49thXE6Z3/268iXpHm/o96NS9LZNm/MrYH6fRZ6DaWeti1w+TYsZsPbiGnm0G\nUaSoEZNnjqFH6wFEhkexeN0sGjWrh9fFq9l6T5JCovXcwfzdfxHvgiIYdHwOT12vE/4kQBPm/jEv\nbu1zA6BC69q0+GMA/wxeonneckZ/np/3yVa6GaFQKBg17xemfD+NsMAw1p5cg5fLZV4+eakJE+If\nyrLxy+n1v55acavWqYJN3aqMaKtuDFccWU6NhjW4ffl2TsVgOu1Xgv73GwnBYVjuX0f0eS/in7/U\nCvbB2Z3whevSRTeb9xtRW/cTc/kGkqEByLkzRAqFggnzxzDmu0mEBIay3XEjF50v4ffkhSZMkH8w\nc8ctpv+I9J3C2Jg4BrdN71zmUAzlFw7nbp85xAZGUNNpERHO14h+/FormLKgAZbDOvL2+mPNZ8W6\nNEKhp8uNFhNQGOpR58IqQh08iH0VmiMpkkKi+bzBnPh+Ee8DI+h1cg5+LteJTFV+Hzt4cW+vuvyW\naVObJjMGcHLgEp44XOKJwyUATCqXpMPW8YTff5lhOv+/aclIW485Q9kyYAFvgsL59fh87rtcJ+Sp\nvybMzWOeXN7nCkDV1nXoMn0g2wYvynGa+ckGp9WVn+xMuQU/cq/vHOICw6lxejERzlf5mKYuKQoa\nYD68E+9S1aUS/VsD4NNyPLqmRlTZ/we32/+WO1ujUFB2wY886DebuMBwqjkuIfLMVT4+yUDPsI5a\neoon6bndahw6pkWovO8P7naYnGM9CoWCyQvGMarfeIIDQ9nluJkLZzzwTWPzZo9dwIAR6QdyAUZM\nHs6Ny7dynP78pb/zXY8fCQwIxtHtL5xPn+PJo2eaMN8N7MmbN29pWqcDXb/twO+zxjNy2ESUSiVr\nNi1izIip3L/7CGPjIsTHJ6BUKpmzcAr2DbsSGRHF77MnMPTH71mxeEN2hFFx0TB8+swlNiCCOmcW\nEnYmY/trNbyDlv0NOexByGEPAApWKUW1XZN5f88vR+8n+R39Ou8Xfvt+KqGBYaw/uZZLGdSlJeOX\n0+d/vbTiVq1TFZu6NvzUVt2ZXnVkObYNa+CTzbqkUChYsXIOXToPwN8/iIsXj3PqlAsPHz7VhBk8\npA9RUf+PvbOOjuJ62PAzuxHcJQnuTgLBCQSJQEgIxVucQnFa3F1LkUJxCi3uDkESJBBcgwQnQaIQ\nwyO78/2xm81uNkCENvn1u885e9rM3Jn7cufKO3MtmurVmtC+vRszZo6lR/fBhIdH0r79j4QEh1G5\ncnn2H9hAubL1dNf17v0LN67fTkvSICkk6szuwYnOc/kQHEFLj+m8PHaNaL32AMAkexYq/OjMq2uJ\nelWf4vD9bRd5KhQlT8WiaYpfH4VCwbBZQxn+/WheBb9itcdyfI5f4JleWQoNDGP2sHl07t/B6PoJ\ni8ewcckWrp69RtZsWVCrU1emFQoFs+dPpFObPgQHhXLklKYsPUxalqLe0KBmC9zbtmTi1BH07z0C\npVLJ0tW/MqTfWIOylMDgvqPxvXk30+hxcXPg/bsPqdKTgKSQcJrRg21d5vImJIKeB6bzKIkfv7v/\nAjf0/LjDxK5s1/PjzSd34ck38OOSQqLz9B9Z0nUmkSHhjD0wh1ueVwnR8wwv/AKY4zaWuE+xNO7q\nyHfjurJ28O88vHCX2S6jAciWOzvTvf/A70w6NCkU5Bs3hND+Wj++eSkfvJP34xFz/3k/rlKrmbPV\nk5U/d6Rw3px0mbMR++plKGNVQBdmjccFnGwr0NG+Bk+CXjN46W6OVOuH57UHxMWr2DW5Fx9j42g7\ndR0talWiSIHc6dL0Odq4OPJDu9aMnzH/H7m/PpJCQe8Z/ZjVZQrhIeHMOfAbV70uE6jnHwLuPmWc\n6whiP8Xi2LUFXcb1YPHg+cR+jGHZsMWEBASTt1Be5hxegO+Zm3x48z7NWnrM6MuvXaYRERLO9APz\nuO51hSA9Lc/u+jPZdRSxn2Jp3tWZzuO6s2zwAt359iO+5/6l1NUtn0OhUDB+zkj6dfyZ0OAwthxd\ny+njZ3n6MEAXJiQwhEk/z6THQMOPp58+fmLikOk8939JwcIF2Hp8HedPXeLtm3epin/Bwmm4u3Un\nMDCE02f34XHYiwd67WT3Hh2JinqDTfVmtGvvyrQZY+jVYyh+fg+xt3NHpVJR2KIg5y8e5ojHCVQq\nFQCtWv5ARHhkqrTMXTCZDm16ERQYyvFTuzjqcdKg/u3SvQNRUW+oU8OJNu1cmDxtJH17DQMgwP85\nTRsZD/g4duQUa1dv5tL1Y6nSMmf+JDq2+ZHgoFCOntph1Bb80K09UVHR1K/ZAve2LkycOpJ+vYej\nVCpZtnoeg/uN0bYFeXRtwfGjp1m3ZgsXrh1JlZZv7WXevXtP/XqJneA+5w6yf//RVOlp7dqNwMAQ\nzpzdj8dhr2T1WFdrSvv2rlo9QwgPj6BD+z46PfsOrKd82foolUrm/TaZWrZOhIdHMmPmWPr1787s\nWYv/p9JGTxjZB/zCm4kjUL9+Re5Fq4i7eA7Vi0RvpbAqQtaOXXgzahDyu3dIuTWDneRPn3i3cBbq\noECkfPnJs3gNcdevIL9PebkWCDIT/8qMD0mSJGAfcEaW5dKyLNsCnYEUvS1JkqT8BzTlAWoCeSRJ\nKvWZMP9ox1Dt2jY8eRKAv/9z4uLi2LnzIG56oxQA3Nyc2LRpFwB79njQtKlmhMmHDx85f/4KMTGf\nkmpGkiSyZ88GQK5cOQgODv2qluo1q/As4AUvngUSFxfP4X3HcWhpODq1eUt79m4/BMDRgyeo36gO\nAGUrlOLCGU1nRsTrSN5Gv6WaTWWKlShCwJNnRIZHAXDe+zJOrs1SlUYAljZliAoIJfrFK9RxKu4d\nvEhZR1uDMLHvPur+3zSbOej1JpZ1siX6+SvCHwaSXirYVCAoIJiQ5yHEx8XjfcCbBk6G/WahL0Px\nv++PnOTFRZbBzNwMEzMTTM1MMTFVEvk65UYsKeZVKxD3Ioj4wBCIj+f90dNka9IgRdeali6OZKLk\n00XNqBP54yfkTzFp1gJQuUZFXgYEEfQ8mPi4eLz2n6Sxs+GIqJCXoTy59xS1Wp2uuL5Gzhpl+eQf\nwqfnYchx8bzad458zsaj+UqM6czL5ftRx8QlHpRlFNnMQalAkcUMdWw8qrcfja5NKYVsyhAdEMqb\n55r8+/jARUo5GebfOL38a5LN3CjvAJRzb8DjAxfSrCOzaUlKMZuyvH4WQsSLMFRxKnwPXqCKUy2D\nMDF62sw+oy01ZKY6WJ/MVM/kqFGWjwEhxDwPRY6L5/V+n2TLUvEx3xO0bB/qmFjdsazlixLlo/ko\nGxf+hvjo97qZVenR8ykgWKcnfL8PeZ3rGIUrNvoHgpbvQzbQU4w3ZzUfrePDo1FFv9fNTkkLVWpU\n4kVAIIHaOs9z/wnsnQ1nDAS/DOHxvafIyXyIrVitPPkK5uWSd+oGAyRQw7YaAU9f8PzZS+Li4ti/\nxwNnF8MRWU4tm7Fzq2aU4+H9x7Gz13w0t2/WgHt3H+J35wEAkZHRqNVqXf7Nlj0rADlzZic0JHWd\nvrlqluWjfwifnmnq37B95yjQopZRuFJjO/Ni2X7Un+KSuQsU+q4hYXvPpSrupGjKUhDB2rJ0+sBp\nGn6mLKllw3ZJlmWDsqQ0NUlTWapVy4anT54REPCCuLg4du06iKurYT3j2sqJzZt2A7B3rwdNtG25\nr+9dQoLDAPDze4i5uTlmZoaj99NK/hpleBsQyjttexCw/yJFnW2NwlmPbo/f8kMG7aTqYwyvLj9E\nFZP8s0stlWpUJDAgkGBtWTqx/xR2zoZ+JuRlKE+TKUslypVAaaLk6tlrAHz88ImYVPoZTVl6nliW\ndh/B2cXQr7ZwacaOrfsAOLT/OI10Zakh9+4Yl6X08E/pyZY9G/0G9mDx/FVp0mVlU4bIgFCi9Px4\n+S/4cbNs5gaj+8o52RL1/BWvv4EfL2lTllfPQnit9QxXD543mrXx8MJd4j5p2oCnNx6R18J4xk1N\nl3rcPX1DFy4tmFetQLy+Hz+WOj+O8tv68TsBwRQrlJeiBfNgaqLEuXZFTt96bBBGkuC99t/87lMM\nBfPk0B6X+BgTR7xKTUxsPKYmSnJk/TZ1TnLUsqlG7lw5/7H761PWphyhAcGEvQhFFRfP+YM+1Has\naxDm7oU7xGrT5dGNB+S31MykC/YPIiQgGIDIsEjevI4mV75cadZSxqYsoQHBvNJquXjQB1tHQy9z\nT0/L4xsPyWeZOKuvZNXS5C6Qhzvp6bDTo2qNyrzwf0ng8yDi4+I5us+LJs6NDMIEvQjh0b0nRvXb\ns6cveO6v6bB5FfqaiNeR5M2fupmitWpZ8/RpYju5e9chWrk6GoRp5erA1s2adnLf3iO6dvLjx0+6\nTo4s5ubp7Tekpm11Ap4+41mApv7dt+cwLVsZzmJp6dKM7Vs0Y3cP7jtGI/uvj6G9dtWX0NDU+aka\nttXx12sL9u32MGoLnF2asUPr8w7tP6bzeU2aNcTvzgO9tiBK9+yuX/UlLJVa/mkvU6ZMSQoWzM+5\nc5dTqMfaSI9RnmnlqKcnMc/c8vVLVo/OA2fTf4cL+59LmwRMyldCFRSIOiQY4uOJOXMS03qG7ylZ\nnN34dGgv8jtNh4Ycrflupw56iTpI01bLEeGooyKRcv8zHeACwb/Bv7XUVTMgVpbllQkHZFl+Jsvy\nH5IklZQk6awkSde1vwYAkiQ1kSTplCRJW4Db2mP7JEm6JknSXUmSfkq4lyRJP0qS9FCSpNOSJK2R\nJGmp9nhBSZJ2S5J0RfvT/wrbDjgIbEPTCZNwr78lSVooSdIp4FdJkrJLkrROe/0NSZLcteGS1Z0a\nrKwsePkycZRUYGAwVkmmN+uHUalUvHnz9otT7uLj4xk6dAJXrx7H3/8qlSqV46+/tn1VS2HLQoQE\nJn6cCwkKo7BlIcMwFoUI1oZRqVS8ffOOvPlyc//OI5q3tEepVFK0uBVVrCthUaQwz/xfULpcSYoU\ns0SpVOLg0gTLIqmfvp3DIi9vgyN0f78NjiCnhXEa1OjuQN8zC7Af15kTUzYAYJrVnLoDXDnyWuNE\nAAAgAElEQVT3+55Ux5scBSzy8yoo0Si8Cn5NfouULS9x7/o9bl7wZdvVLWy7toWr3td48fhFmrUo\nCxVApfdBShX2GpPCBYzCZWtuR5Gdqyg0fxLKwppp0qYliqJ++45CC6dgtX0FeYf1BUX6qoOCFgUI\nC0o0B2HBryhoYaznc5iZm7HOYyVrDi4z6jBJLeaW+YgJeq37OzY4HHNLwxfe7FVLYW5VgAjPawbH\nXx+6iPpDDPVuraHOtZUErjhAfFTaRzdkt8jLu6DE/PsuOILsyeTfqj0c6OKzgAbjO+MzeYPR+bJu\ndXm0P32dDZlJS1JyF85LdFC47u/o4HByFTbWVr+bI2O8f8dl7A8cmLo+XXFmpjpYn8xUz5hb5CM2\nUL8sRWCWREtCWYr0MixLH/yeaTpJlArMixUiR/UymBVJeZ2QHGYW+YnVyyexweGYJSnb2aqWwswq\nP1FJ9dwN0HSSaPVkr14Gc6u06yloUYBQvTovNPgVBS0LfuGKRCRJ4pcpg1gyY0Wa47ewLExQYLDu\n7+CgUCwsDfOvhVUhggJDgMT8mzdfHkqXKQmyzOZdqzl6eicDhvYGNPl33IgZnPDZx/V7pylXoQxb\nN+5OlS5zi3zE6D2jmKAIzJPkmRxVS2JulZ9wz88v+VDIvQFhe31SFXdSCljkJ8yoLKXsmSeUpR1X\nt7Lj2lauel/jeRrKkpVVYV4GGtYzlkb1TGKYz9Uzbdq05JbvXWJjEz/Qrlr5GxcuejBm7JBU68pm\nkZcPeu3Bh+AIslkaxpm3agmyW+Uj0Ctts5JSSgGLAkmeU8r9Q7HSRXn35j0z10zlz2MrGTDxJxSp\n9DMWloUJ1JYTgOCgECySeGBNeTMsS/ny5aFM2RLIyGzdvZrj3rsYqC1LCSxaNgvPs3sYNirlS/n8\nU3rGTBjCymV/8+Fj2gZz5LDIy5sU+PGa3R3of2YBTcd1xlPPj9cf4IrPN/LjeQrnI1KvnokMDidP\n4c8vJdawYzPunjbOx7XcGnLlQPo6WJWFChCv58fjQ1+jLJS8H7fasYqCvxn78YILpmC57dv48bDI\nd1jkTexMKJwnJ2GRhj62v2tDDl/yw2nsCgYv3c3YTpoPuw41y5PV3BTHMctpMX4V3R1rk1vbEf6/\nTj6LfIQHJ/qZ8ODwZDvDEmjayYGbp43bqDLW5TAxMyH0WUgyV6WMvBb5iQhOzL8RX9Fi36k5t7Ra\nJEnih4k92To7fR5Yn0KWBQkJSvwOEBb8isIp9DP6VK1RCVNTU14EpK5z09LKgpcvE/1MUGAwVkn8\njKVVYV0YXZ2nbSdr1bLm0pWjXLh8hF+GTtR1hMiyzL4D6/H22U/PXsnPvDXWYlj/BgWGYpnUW1kW\nJjAwiZZ8Gi3FSxTl5Nm97D+8kXr1jQcTpAZLy0QPBxqfl1SLpZ4X1Hyf0bQFpcuWRAa27l7Dce/d\nDBr6Y7q0/JNeBqBDx9bs3nUoFXoseKnngQMDQ7CyskhGT2LaRH9FT3x8PL/8PIlLV47w+OklKlYs\nx/q/t6dAS+ZKmwQU+Qugfp34nqJ+/QplfsO2SVmkKMoixcj121JyLViOqa3xYDKT8hXB1BR1cJDR\nOYHgf4V/q+OjCvC5t9swwFGW5ZpAJ2CJ3rk6wARZlitr/+6tnS1SCxgqSVJ+SZKsgEloltByBCrq\nXb8YWCTLcm00HR1/6p37Htiq/SXdjKA84CDL8ghgAnBSe4+mwG+SJGX/im4dkiT9JEnSVUmSrqpU\n75KeMwqfdPRuSsLoY2Jiwk8/daNePRdKlarF7dv3GD160GfDJ8ZjfMxYS3JhYNeWA4QEhbHHawPj\nZ47gxpVbqOJVvIl+y5RRc/l9zRy2HFxD4PMgVPGqr2ox0kZyaWAc7sYGL9Y0HoH33G3U164p3nB4\nW67+eZS4D+kbPZUoJnXPQx+rkpYUL1ucH+p05fvaXbBpYEO1ulX/US0fvC/womU3Ajv04+OlGxSc\nOUpzQqkkS41qRCxYRdAPgzAtakkOdyej+6VOTtrTBuC7Op3o7dKfKYNm8su0wRQpYfX1iz4vxviY\nvhZJovT0njydZvzSkLNGWWSVmkvWP3GlzkCK9HcjS/FCRuFSLiVl+ffOei82243gwpxt2A41nCJd\nyKYM8R9jiXjw0vjC/1EtyYgzPpaMtgsbPfnV/hc85m6hWTr3X8lMdXCSSFMVpz7/Rj2TtCyVnNaT\ngKl/GwUL3XqC2OBwrI/Oo9T0Xry9+gA5DW2AoZ5kjuknjSRRcmovnk8z1hO2TaOn2tHfKDG9N2+v\n3kdWpV1Peuq89j2/49zJiwYdJ6mP3/iYUf5NLsFkGaWJktr1ajL4p9G0admNlq2aY9e4LiYmJnTv\n3Qln+/bUrNSEe3cfMiSZ9a2/LCyZKDHMM2Wn9+TJVONO1QRy1iyL6mMs7++nvdNOE9VX8u8XsCpp\nRYmyxehcpwudav9AjQbWaSpLKconXwlTqVI5Zswcy5Ah43XHevf+mTp1WuDo0IGGDWrzww/G69V/\nRVgycRqerzW1K9embUndfdNASvLy51CaKKlepyrLZqyin8tArIpb0rKjcyrjTyYtUhJGllEqTahT\nryaD+o7GvUVXWro6YNdYM+J2UN/RNGvYhjYtu1K3vi0dOhvvXfVv6alSrSIlSxfnyKETKdKQrK4U\n+vHrG7xY2XgEp+Zuo6HWjzca3pbL39CPp6b+rdOmESWql8Zz9QGD47kK5sGqQvH0LXOlEWN8LBk/\n/tKlG0Ed+/Hp0g0KzDD045ELVxHcZRAmRSzJ0Tp9fjy5VEgq8eiVe7SuX5XjcwewdHA7Jv7lgVot\nc8c/GIUkcfzXAXjM7MtGryu8fBWVLj2ZheTbw+TD2n1nT5lqZTmwynBF7jyF8jJ40S+sGPlHumYd\nJ2tlPnO7Bt81plS1shxepZnh1bx7C3xPXTfoOEkv6amDEyhQKD+z/pjM5F9mpfra9PgZgKtXfalb\nuwVNGrdhxMgBur0snJp3oHHD1rT7rjd9+3WjQcOv7+WTnneD0JAwalRpSrNG3zFpwlxW/rmAHDmz\nfzXOVGkhJVrARKmkbr2aDOo7CvcWXQzapm+m5Rt4mQTat3djx84DRsfTo+drYSpVKsf0mWMYOmQC\noHmH69O3Cw3ru1K2dF3u3LnPyFHG+z+mRcu/mTZfjDPpAaUSpVVR3oz9mXfzppN96Cik7DkSb5E3\nHzlGTOD9ornpXoZRkDrU/9FfRpEhm5tLkrRMkiRfSZKuAKbAGkmSbgM7gcp6QS/Lsuyv9/dQSZJ8\ngYtAMaAcms4Rb1mWI2RZjtPeIwEHYKkkSTeBA0AuSZJyavcbKQv4yLL8EIiXJEn/bXanLMsJX0Oc\ngLHae5wGsgDFv6JbhyzLq2VZriXLci2lMofBucDAYIoWTfy4W6SIpdF0Ov0wSqWSXLlyEhHxeQNq\nba2R8fSpZu2+3bsPUa/e10cbhASFYaE3G8PCqhBhSZa3CAkO083YUCqV5MyVg6jIaFQqFXMmLcS9\naRcGdh9Bzlw5CNCua3vq+Fk6tOhJJ5fe+D9+RsDT1H/EeBsSQU69Eb05LfPxLvTzy03cO3CRctrl\neyxtytJkXGf6+SzCtrcz9Qa1pkYPx89e+zVeB7+moFXiCJiClgWICI34whWJNHRuyP0b9/n04ROf\nPnziyqkrVKxR8esXfgZV6CuUFolalIUKoAozNMHq6LcQp1mK4u1uD8wrldde+5qY+4810/JVaj6c\nOo95xXJp1gKa0UGFrBI7CApZFuR1aMpNeULYoOfBXL9wk/JVy6ZZS0xQuMFIbjPL/MSEJOYZZY6s\nZK9QjOp7plH7ynJy1SxH5fVjyGFdhoJtGxF56gZyvIq41294c+UBOWzSvhzOu+AIclgl5t8clvn4\n8IX8+2j/RUolWW6knHu9bzLDIjNpSUp0SAS5rRJHhee2zM+bsM9r8z14gSqOxsvnpIbMVAfrk5nq\nmZjgcINZGmaW+YjV06LMkZVsFYtTZc90al5eQc6a5an091jNElIqNQFT/sbXcST3e/2KMlc2PvkH\nJxdNiokNDsdML5+YWeYnNsRQT9aKxam8ewY1Lq0kR83yVPh7nGaDc5WaZ1P/4rbjCB72motJ7ux8\nepp2PWHBryisV+cVtizI65DXX7gikeq2VejYqy37L23n58kDcWnvzODx/VIVf3BQKFZFLHV/W1oV\nJjQkLJkwmhFwCfk3MjKa4KBQLp67SmREFJ8+fuKk51mqWlemSjVNXnkWoGmrD+47im1dm1TpigmO\nwFzvGZlb5TN6RtkrFsNmz1TqXVlGLttyVN0wRrfBOUChNg3TPdsDNDM8CiUpS+EpbJfsnBvgp1eW\nLp+6SqUalVKtITAwhKJFDOuZkCT1TJBemKT1jFURC7ZuW0XfPsPx90/cMyBYOzr33bv37NhxANta\n1qnS9SE4gmx67UE2y3x81GsnTXNkIXfFojjunkCbS4soULMMTf4ertvg/Fti/JxS7h9eBb/i0Z3H\nBD8PRqVSc/bYOcpXS52fCQ4KoUiRxJGillYWhAYnLUshnylLIVw4d4WIiCg+fvzESc8zVNO2AwnP\n+f27D+zZdRibmtUyTI9tbWuqW1fh8i1P9h/ZROmyJdl96O9UpdPbkAhypcKP++n5cSubsjQd15kB\nPouo3duZBoNaY5sOPx4ZEk5evXomr2V+opPxDBUbVqPF4O9Y0Wce8bHxBudsXetz89hl1OnskFeF\nvsJEz4+bFC6A6tUX/PgeQz8e+8DQj5tVSp8fL5w3ByGRb3V/h0a91S1llcDec7dxsq0AgHXpIsTE\nxxP17gNHrtyjYZVSmCqV5MuVHZsyRbibjpkNmYnwkHDyWyb6mfyW+YlMxltVa1idtoPbM6/PbIM8\nkzVHVsb+NZHt8zfz6MZDo+tSQ0RIuMHSVfks8xOVjJYqDavTenB7FvWZo9NSrmYFHHq0ZKHPSr6f\n0AO7tk3oOKZruvSEBr3CQm+EeiHLgoSl0M8AZM+RjaWb5rP019Xcvp76fUeCAkMoWjTRz1gVsSQ4\niZ8JCkoM8zk//vDBE96//0Dlypq8HaK9x+tX4Rw6cDxF7WRQoGH9a1WksO4+CWjqaEMtkZFRxMbG\nERmp0XTr5l0C/J9Tpmza28wgPQ8HGp9n5B+CQnReUPN9RqMlKCjUoC044XmG6tbJfq5KEf+UlwGo\nVq0SJiZKbt64kwo9wRTV88BFilgYLS2s0ZyYNrmT6NmybRU/9Rmh05OQPgl/79l9mLr1aqZAS+ZK\nmwTUr1+hKJD4nqIoUBB1+GujMLGXfEClQh0agvrlCxRWmt0IpKzZyDX1Vz5sXEv8A79Uxy8QZCb+\nrY6Pu2j20wBAluVBQHOgIDAMCAWs0czk0F/UTrdjmCRJTdB0ZNSXZdkauIGmEyK5QRMJKLThbbS/\nIrIsv0UzQyMv4C9JUgBQEr3lrvTj1d6/nd49isuyfO8rulPE1au+lC1bipIli2FqakqHDm4cOuRp\nEObQIU+6dtVsuNm2rQunT5//4j2DgkKpWLEcBQpoXkyaN29ksLHS57h9w4+SpYpRtLgVpqYmtGrj\nxImjZwzCnDx6hu86uQLQwq05F3w065JnyWpO1mxZAGhgXxeVSqXbFD1fAc0Uvly5c/JD7/bs3LTv\nq1qSEuz7lLylLMhdrCAKUyWV3OrxOMnyGHlLJpq1Ms1siAzQmPStHWawym4Yq+yGcW3dMS4uO8CN\n9YZpnBoe+D6gSEkrLIoVxsTUBPvW9lzwvJiia8OCwqhWtxoKpUIzQrFetXQtQRNz9wGmxYtgUsQC\nTEzI3qIJH7wNP0grC+h91GhSn1htYxpz9wGKXDlQ5NWs1Ziljg2xT5+RHu7dvE+xUkWwLGaBiakJ\nDu7NOHv8y/k1gZy5c2BqZgpA7ry5qF67Kv4P067n7c3HZCltiXnxQkimJhRs05CI44nr6KvefuBi\nld5cqT2QK7UH8ub6I/x6/Mo73yfEBL4mt52mH1SRzZxctuX48CjtUzvDfJ+Su6QFObX5t2zrevgn\nyb+59fJvieY2RAfovWRKEmVa1f0me2pkJi1Jeen7hAIlLchbtCBKUyXWbvXxS7IMWYGSiea/YrMa\nhAek72U8M9XB+mSmeubdzcdkLWWJeTFNWSrgbkfEsau686q3H7hSpRfX6wzgep0BvL3+kHs95/Le\n9wmKrGYospoDkLtxdWSV2mhT9LToyaKnJ7+7HZFJyva1qj25Ubc/N+r25931hzzoOYf3t5LqsUaO\nVxltip4a/G7ep3ipolgVs8TE1ARH9+acOZ6yJVMmDZ6BW+0OuNftxOLpy/HYdYyls1O37v7N63co\nVaY4xYoXwdTUFPe2Lhw/csogzPGjp+jwvTsArdydOHfmEgDeJ85RqUp5smTNglKppF7DWjx68ISQ\n4FDKVSijWz6icZMGPH7wNFW63t54TNbSlmTR1r+F2jTkdZI8c67yj1ysPYiLtQfx5toj7nT/lbe+\n2ngkiUJu9Qnbl77lZyChLBXRlaUmrZtwPsVl6RXWdasblKXnj59//cIkXLvmS5myJSlRoiimpqa0\nb+/G4cOG9cxhD0+6dG0HwHffueDtralncufOxZ7dfzFl8jwuXkysD5VKpW6JBBMTE1q0bIafX+o+\nxIXffErOUhZk17YHJd3r8fJ4YnsQ9/Yju6oOYF/dYeyrO4zX159wuudCIm75f+GuaeP+zfsU1fMP\nzd2bci6F/uH+zQfkzJOT3Pk0fqZmwxoEpNI/aMpSCYqV0Jaldi05lqQsHTtyio7fa2YvuLo74aMt\nS6dPnKNylQpk1ZWl2jx88BilUkm+fJp17k1MTHB0tufBvZS1Bf+Eng3rtlOjUhPqVHfEvWVXnj4O\noJ1rz1SlU1AyfvzRF/x4WT0/vqnDDFbYDWOF3TCurDvG+WUHuJYOP/7M9wmFSlqSX+sZark14Jbn\nVYMwRauU5IfZfVnRZx5vw98Y3aN264ZcPZj+eibm7gNMihfBxErrx52/4sft6xOn78dzGvrxuHT6\n8SolLHkeFkng6yji4lUcu3If++qGg4ks8+Xi0n2NhqfB4cTGxZM3ZzYs8+Xi8oPnyLLMx5hYbj8N\nptQXlmD6X+KJ7yMsSllSsFghlKYmNHCz46qn4Zr5JauUos+cgcz7cTZvwqN1x5WmJoxYPY4zu09z\n0SNlddOXeOr72EBLPTc7rnsa7vdVokopes3pz6If5xhoWfHz7wxr0I/hdv3ZOms9PntOs+PXTenS\nc/fmPYqXLkqR4ho/06KNA97HUzb4wMTUhEV/zeXgziN4Hjz19QuS4dq1W5Quk9hOtmvvisdhL4Mw\nHodP8H0XTTvZ5ruWeGvLWIkSRVEqNdvBFitmRbnypXn2/CXZsmUlRw7NbIts2bLSrLkd91LQTt64\nfptSZUpSXKulTdtWHPU4aRDmqMdJOv2gmXXu1sYZnzMaX5E/f17dUoslShaldJmSuoEkaeHm9duU\nLlOC4tq2oE27ZHzekVN01Po8V3dnzmm1nD7hQyW9tqB+w9oGm6Knln/CyyTQoUNrdu48mEo9t4z0\nGOUZDy89PYl5JnfunOzevY6pSfQEBYVQsVLiO1yz5nY8uP/1NMtsaZNA/MP7KIsURVFY0zaZN25G\n3CXDNi/2og8m1WoAIOXKjaJIMdQhQWBiQs6JM4k5eYxYn9Npil8gyEz8o5t363ESmC1J0gBZlhMW\ntM6m/W9u4KUsy2pJknoAn9vIPDcQKcvyB0mSKqJZ2grgMrBIkqS8wFs0S1rd1p47DgwGfgOQJMlG\nluWbaJa2aiHL8gXt8VKAJzAxmXiPAUMkSRoiy7IsSVINWZZvpEL3Z1GpVPzyyyQOHtyIUqlk/frt\n3Lv3kMmTh3Pt2m0OH/bk77+3s27d79y9e4aIiCi6dx+su/7Bg3PkzJkTMzNT3NyccXXtyv37j5g1\n63e8vHYSFxfP8+eB9O07PEVapo/7jbU7/kCpULJr6wEeP3jK0DH9uHPzHiePnWHn5v38tnw6npf3\nEh35hmE/aabi5S+Qj7U7liKr1YQGhzFq4GTdfSfOGknFKpqRS8vm/6mbCZIaZJUar8nr6bBhNJJS\nwe0d3oQ/CsRueDtCbvnz2Os6NXo4UdKuCqo4FTFv3nN4eNo2bvwaapWapZOWM3vTLBRKBce2H+fZ\nw2d0H9GNh7cecdHzIuWtyzNlzSRy5s5JPYe6dBvejZ8c+nH2sA82DWxY7bkSWZa56n2Ni16X0i5G\npSZ8zlIsVswBhYK3+44R9+QZeQb2IPbuQz54XyDXD23I1qQ+crwK9Zu3vJ70m/YfoiZi4WosV88D\nSSLG7xFvd3ukK21UKjULJi7h9y3zUCgUHNp+BP+HAfQd2Yt7vg/w8TxPJesKzF07g5y5c2DnWJ8+\nI3rRpVkvSpYrwZi5w1HLMgpJYuPSrQQ8SseLn0rNk/F/UnXrRCSlgtCtJ/nw4CUlRnfi7c0nRBy/\n+tlLg9YdpfziQdT0XoQkQci2U3y4l3YtskrN2Unrcdukyb/3t3sT+TCQ2iPa8eqWPwGe16nW04mi\ndlVQx6uIiX7PiWGJ+deqbkXeBUfw5nnqNqHL7FqSolap2T/5b/psGIdCqeDKjtOEPnqJ07D2vLzt\nj5/XNRr0cKJsw2qo4+P5GP2e7SPSvj8CZK46OGlaZKZ65un4P6m8dZKmLG07yceHLyg2qjPvfB8T\n+YWyZJo/N5W3TkKWZWKDI3g8JNkVIVOtJ2DCn1TcMhlJqSBs2wk+PnxB0VGdee/7xKATJDk9FbdO\nBrVMbEh4uvWoVCrmTfidJVvmo1QqOLDNg6cPA+g3qjf3fB9w5vg5KltXZN7ameTKkxM7xwb0G9mb\nTk17pCte/fgnjp7Flt2rUSgVbN+8l4f3nzBy3GB8b97F88gptm3czZKVc/G5doSoyGgG/jgSgOjo\nN6xevh6PE9uRkTnpeZYTxzWDHRbNW86ew+uJi48n8EUwwwYaT7v/ErJKzaNxa6m+bQKSUkHw1lN8\nePCSkqM78db3CeHHPp9nAPLUr0RMcDifnqV9GbAE1Co1f0xaxtxNs1EoFRzVlqUeI7rz8NZDLnhe\npIJ1eaaumUyO3Dmp71CPHsO708fhJ84cPotNA2vWeK4CWeaK99U0lSWVSsWI4ZPZf2ADSqWSDRt2\ncO/eIyZOGsb167fxOOzF+r938Ofahdy6fZrIyCh6dNfs2dGvf3dKlynB2HFDGTtuKACt3brx/v0H\n9h/YgKmJCQqlktOnzvHXuq2p0iWr1FyZsJ7mWzTtwZNt3kQ/DKT6qHZE+PobdIIkR5tLizDNkRWF\nmQlFnWtx8vu5RKdxkIBKpeb3iX8wf8uvKBQKPLYfIeDhM3qP7MkD3wec87xAResKzFw7jZy5c9DA\nsT69R/SgR7MfUavVLJ++it+3z0eS4MHtRxzccjiV8asYP2oWW3evQalUsG3TXh7ef8yo8YPxvXGX\n40dOsXXjbv5Y9Svnrx8lKjKK/r0Ty9KqZes5c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7dOMuwz30H+Wr+Em7dOcvL0nsTvILbV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Olv37VYNuJ0+60KaNqu189+5fLl7058OH9zrhJUlCkiS++SY/oPIZ5PKoTOmyqlOB+NAo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\n2Xeim8enXLuaSK8uBR+gXRRlZ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ixa9SOH4oIIiNhEteo2AHTt6UVI1A7Nv8R7CdRv+L5K\nc3cPwmP8CIvexfodS3i70lsmaXFt35bo2CCOnApl+KiBRrUsXf0TR06FErRvK9Vq2GjufdjgPfaG\nb+bg0T3sP+xP6dKlANgVuJbo2CAiov2IiPajcpVKJmnp5O7C+XOHuHQhhgnjjZefzZuWcOlCDEdi\ndMvPNxOGc+lCDOfPHcJdXX6qVbNhX/gOzp45SEL8fr4ebpjW+ri7u3Du3CEuXohhfD4aNm1awsUL\nMRzW0zBhwnAuXojh3LlDOmUYwMzMjNgTYfjvXqe55uLShhPHQzl9OpLVq35FoVAUuZY/rxzj9Kl9\nxMWGc+xosOa6nV0DYqL3aq43c7R/cRq9RD2vVOktwsO28+D+ZX79dY4mfJkyb+Dvv46zZw4SfzqS\nuXPyb2MKopVLc3ZGb8Tv8GY+G/6Jwf0mLezYELaSozf34+blbHC/3JtlCTq5i/FzR71U/O07tOPE\nqXBOJkQyasxXBvdLlSrFqnW/cTIhkogDOzVtcC7VqllzKyWB4SNUZdXW1po9wRs5djKUI7EhfDX0\nM5O1dOjYjpOn9xF/Zj+jxw42qmXNuoXEn9nP/oN+1FBrcXBoTMzRQGKOBnL4WBDePu6aZ85eOMTR\nEyHEHA3kYHSAyVq0ae3agt0xWwg4uo3Ph/czuN+0pR2bw1cTezuKDt4umuvW1SzZFLaKrfvWsjNq\nIz0/7fpS8RvT4xe9mYAjWxmQj55N4as4cesg7b0M9WyJWMOOgxvo8anvS8Xv7NaG/cf3EBUbyJCR\nXxjcL1XKgj9W/kBUbCD+4Xn2wNzcnJ8WzSEseheRR/0ZOiqvfftx4SxOXjpIeIxfobS4tm9LTGww\nR19gD5at/pmjp0IJ3reV6nr2IDB8C1FH93LgcAClS5eiTJk32LhtKdEngog6upcpM8YUSk8uzVwc\nWRe1mo0xa+k7rI/B/cYtGrEsZDH7EkNp5+WkuW7f2o4VYUs1/8L+CqJNp9aFjt+lfVsOnQgk5mQI\nw/JJlyWrFhBzMoS9EVs0eQSqdNkTton9RwLYd3i3xk769vBk3+HdRMT4sXHHMpNttj4dOzqTkLCf\nc+eiGDduiBFtpdiw4Q/OnYvi0CF/atRQtcdubm05fDiQ2NgwDh8OxNm58Omij1sHJ46dDOVEfAQj\nRn9pRIsFK9f8yon4CML279DxQW+lnuFATAAHYgJY8Musl4r/dadFmTJv4Oe3hvj4SE6ejGD27G9M\n1uLSvg1Rx/cSExfMsHz8vMWrFhATF8zeiM2aMtOtpxdhUTs1/27eO6Px8yZMGcGJs/u4fPNEodPG\nvaMLZ88c5ML5aMaNG2o0bTZuWMyF89FEH9qjY7fDwrZx/94lfv1lts4z4eHbOXvmICeOh3LieCjv\nvFPZJC3t3FoTeTyAA7F7GZxPm/f7yh84ELuX3eEbsdVq8xYsmk1I9E4iju5myCjdZ83MzAg8sI2V\nm383SQeAk1srwo7uYt8Jf74cMcColl9XzGPfCX92hq7Dtro1ABYW5sxfOIPAqG3sObCF5q0dNM9s\n9F9G2NFd7DmwmT0HNlOpytsmaSlJeVQU7crMmeP588+j3L17wSQN2rxu2wQwcepITp7bz9XbcYXS\nUhR1e+OOpYQf2kXkEX/m/TQdMzPTulRKUroAuLV34mhcKCdOhzMin36IFWt+4cTpcEIjt+vYgJsp\nCRyI9udAtD8/GrEBG7Ys4dDRvSZr+Tf7JAqiKNJl8rRRxJ8/SGLSKZPTpLBM/e5n2nl9RNd+ht8Q\nRUGHju04FR9JwtkDjMnnu2Xd+t9JOHuAA1G7875bHO04ciyII8eCOHosGJ8u7gbPmhr/6/5uApVt\nij6yl+07V76UrqKo54WhnVtrIo75sf9EAF/lYycXrpzP/hMB7ArTtZPfL5xJ8KFtBB7cSos2Kjv5\nRpk3WLnlN8KP7iIkZgfjp31daE0CQXHzPzHwIUlStiRJ8ZIknZMkaYckSab3mOu+55He79GSJD2T\nJKni61FaOMzMzJj/03Q+7jkIp+bedOvhxXvv19UJ8/GnPUlPf0jLJp1Ytngd02aN1dy7cf0m7Z26\n0d6pGxNGzwTg8aPHmmvtnbpx+5aSoL0R+cb/229z8OnSHzs7V/r08eXDD97VCfP55x+Rlp5B/fpt\nWbhwBd/NnQzAhx+8S+/evtjbu+Ht04+FC+diZmaGjY0Vw4Z9QctWXjRp2gGFQkHv3l0AGDd+Jo7N\n3HFw7MjNW0kMHfK5yen01ZwhzPpsBsPbD8WpizPV362uE+b6+auM8RrNyE5fcyQohgGT8969e5kf\nv47+2aS48ot/zg9T+Kz3UNq38qVLDw/efb+OTpg+/bqTkf6Qdo5erFyygUkzRwPgvzMID+deeDj3\nYtTgydy+qeTCucsoFApmzvuGPl2+oJNTDy6dv8KAQX1N0vLdgql80vMrnFv40LWnp0GZ6du/Bxnp\nD2ndtDPLF69j6kxVmVEoFPyx/Hu+GTMLl1Zd6OH9GZmZWZrnhg+aQEen7nR06s79ew9M0rLwt7l4\n+/SjkZ0rffp05cMPdcvPF5/3JS0tgw/qt+XXhSuY990UAD78UFV+Gtu74eX9Cb8v/A4zMzOysrIY\nP2EWjRq70KatD0OGDDB4pzENPj79aGznykf5aEhPy+DD+m35beEKvtPS0Ke3L3b2bnhrachlxNcD\nuXjpT81vSZJYvepXPuk3lCZN2nPj5m0+7d/rX9HSoWMvHJu507KVp+bavO+mMHvOzzg2c2fmrAXM\nmzcl3zR62Xr+7Nk/zJz1I99MnG3w3l9+WUajxi40a96ZVq0c6dTJ1Wj8L8LMzIwJ341m5Cfj6e3y\nKe6+7an9bk2dMClJqcwa9R1hu/cZfcfgCQM5dSy+0HHnxv/jzzPp1f3/aOnYmR69vHn/g3o6Yfp/\n1ouM9Awc7NqzZNEaZs6eoHN/7vdT2BdxSPM7KyuLqZPm0dKhM+6uPRk4qJ/BO/PT8tPPs+jR7XOa\nOXSiZy8fg+c+/aw36ekPsW/sxqI/VjNL3al34cIVnNv60raVN927DuC33+foDMp5eXxM21beuDgV\nvqPfzMyMifPGMvzjsfRo9wmdu3Wgznu1dMIkJ6UyY+RcQnfr2pq7qfcZ4DOYjzoMoL/HID7/uh/v\nWFYptAZ9Pd98N4avPxlHD+d+dO7agdr6em6nMnPkd4TqlZlcPX07fs6nnl/y+fB+VLE0rVNJO/7Z\nP0zms95D6NC6K126528PnJt5s2rJBibOUA3Kefm6U6qUBZ2ceuDl9hEff9ZT08GyY8sePutt2FlV\nkJZ5C6bxcc8vadfCh249jfgQ/XuSnp5Bq6adWbZ4PVNnjgNU9mDR8h+YMGYmzq186K5lD5b8sRqn\n5l50aNedZi2a4NbBySDugnSNnPM1E/tPZoDrQNr7ulLz3Ro6YVKT7vD9mB+J9N+vcz3+SAKDOg1m\nUKfBjOkznmfPnhEXdbLQ8c/9cQr9eg3GtWUXuvbw5F1jdjLjIW0dPFixZD1TZo7RpMvCZfOZOPZb\n3Fr70st7AJmZWSgUCr6dN5FePp/TsW13Ll64wueDPi6Urlxtv/46G1/fz2jSpAO9enXhA732eMCA\nPqSlZdCwoTO//76KuXMnAnD/fho9e35Bs2adGDRoDKtX/1Lo+PW1fP/TDPr0GESbZp507+ltUH4+\n+bQX6ekZNLfvyNJFa5kxa7zmXuL1m7i29cW1rS/jRs94qfiLIi1+/XU59vbtadnSk1atHHF3dzFJ\ny5wfptK/9xBcW3XBt4enQb3+SF2v2zp6smLJBiary8zunUF0cu5JJ+eejBw8iVs3k7hw7jIA+8IO\n4t3ho5dKm99+m0MX30+xs3ejT29fg7T5fMBHpKenU7+BEwt/X8ncOXl2e9asBUycOMfYq/lswAia\nt+hM8xaduXv3vklavv1hMgN6D8W9dTe6dO9MPb206d2vGxnpD3Ft5sOqJRs1bZ6nb0dKlSqFh1NP\nfNz68vFnPTWDIgCff/UJf125Vqh0mTl/IgM/GoFHm554d+tEvfdq64Tp+UlXHqY/pEPzrqxZuonx\n00eoNPbvBoC3cx8G9BrKpG9HI0mS5rmxg6fSxfVjurh+zIN7aSZpKUl5VBR1KTh4H04v6TcUhW0K\nDz2IR3vDgfSCtBRF3R78xVjc2/WgfeuuVK7yNt5dO/1PpUuunvk/TeejngNp09yLbj3yswEPad7E\nnaWL1zJ91jjNvcTrN3F16oqrU1fG69kAL5+OPH78uFBa/s0+ieJIl7CQA3Ry60VR0tWzI0t/Nt6u\nvG7MzMz4+Zdv6d51AI5N3dXtju53y2cDepOenoFdI1cW/b6K2XNU7c6F85dxatOF1i296Nr1MxYu\nnGswmdCU+Ivqu2nIsM+5cvnqyyRLkdXzwsQ/8/tv+KLP13Rq0wOf7p0N7GSvT7qSkf4Qt+a+rFm6\niW9mjASgT//uAHi268NnPYcw+dsxGju5ctEG3Fv1oItrXxya2+Pc/tUn3wgE/yb/EwMfwFNZlu1l\nWW4IPAde1zB2XyAW6GbspiRJRXr4e1OHxly/dpMbibfJzMzE3y+Yzl7tdcJ09mzP9s3+AOz1D6Ot\ncyuT31+7Tk2qVKnEsSPGZ4A0a2bP1auJXL9+k8zMTLZvD8BHb8Tbx8edDRt2ALDLLwhX17aa69u3\nB/D8+XMSE29x9WoizZqpZpybK8wpU+YNFAoFZcqWITk5FYC//84bdypT5g1k2bQDe961f4+UxGRS\nb6aSlZlF9N5DNHdvqRPm7NGzPH/2DwCXT1+msnVe59qZwwk8ffTUpLiMYe/QiMTrN7l54zaZmVns\n9QvB3UO3k9fd05WdW/cAEBwQQZt2LQze49vDg4Bdqhn7kiQhSRJly5YB4M3yb5KacrdALU0cGpF4\nLVdLJgG7Qujk6aYTprOnG9u3qMpMYEA4Ts6qtHJ2a8PFc1c0TntaWgY5OTmFSQodmjdrYlB+uvjo\nOv5dtMvPriDc1OWni08ng/LTvFkTUlLucDr+HACPHj3m0qU/sbWxMlnDtu0B+Ohp8MlHg49PJ7YZ\n0QCqWfseHu1ZvXqL5j2VK7/NP//8w59/qj7S9+07RLdueQMRRaUlP2RZpkKF8gBUrFgepbqe6fMq\n9fzJk6ccORLLM3XdyuXp02dERR0BIDMzk9Px57C1tX6hXmM0aPIhtxKTSLqZTFZmFhEBkTh3aqsT\nJvl2Cn9dvIacY9hefNDoPSq98zbHo2ILHTeoZhxdu3aDG4m3yMzMxG9nEJ5eHXTCeHh1YMum3QAE\n7A7F2SWvDfb07sCN67e4dDFvgCw19S5nEs4DqjJ85fJVrK0tC9TiqNaSqNaya2cgXt4ddcJ4eXdg\ny6ZdAPjvDsHFReV0Pn36jOzsbADeKF0aE5tWk2jY5ENuXb9N0k0lWZlZhPlH4tJJtyM8+VYKf168\nSo5eHmVlZpH5PBOAUqUtdDqZXkXP7UQtPQH7cDFSZlR6dNs3Az0mztDUxr5pQxKv3+TWjSSVPdgd\nSkc9e9DRw4VdufZgT549kGWZsmXLolAoeOON0mQ+z9TYxRNHT5KellEoLU3UPkSuPfDfFWxgDzp5\nurF9i2qlT2BAGG3V9sDFrQ0Xzl3Wsgfp5OTk8PTpMw5Hq2anZ2ZmcvbMBaxf0AYb4wP791EmKkm+\nmUJWZhb7Aw7Sxl33Ayn1dirXLl43KDPaOHs5ceJALP/otT8FobKTt/LspF8wnTz1bLaHGzvU6RIU\nEK5JF2e31lw8b2gnNTa7nMpmly9fziSbrU9ue5xbz3fs2Iu3Xj339u7IJnU99/MLxsWlDQAJCedJ\nTr4DqD7aS5cuTalShZ8JmEtTx8Zc12r/du8KwsOg/WvP1i2q9m+PfyhOLqb7oAVRFGnx9OkzDh06\nCqjKb3z8OWxtCy6/+n5egF8I7h66dcnd040dW7XKjFE/z5OAXSGa36fiznAn9Z6pSaLBwG7v2GPc\nbm/cCYCfXxCurqq00djtfwpXb/LDrmlDbly/pdfmueiE6ejhqmnzQvZE0LpdcyC3zSuj1eZl8Ujd\n5lnZVMXV3YltG3ebrKVx0wbcSMzTEuQfTns9LR08nPHbFghA6N5IWjmptNR7vw5HDqnatgf30niY\n8TeN7OsXOj1yKUl5VFTtyokTp0lJuVNoPUVhmwBOxSVwJ7Vw7W5R1e1Hf6s69c3NzbGwsDDpm7Yk\npQuo+iESr93Q6ocIwkOvH8LD041tm1V1dK9/GE4m9EOUK1eWIcM+5+cfl5is5d/uk3gRRZUuJ+MS\nSH2JfCoMjvaNqKj+NixqHB3tuHY177tl5869ht8tXh3ZtFHV7ux+zd8tRfXdZGNjRafOrqxbu63w\noii6em4qKpt9W2MnA3eH0cHATrrgt1VlJ0P2RNLKqRmgtpPqb4D7Wnby2dNnHItR9SdmZmZx/sxF\nrGwK/rYVvBryf/S/4uJ/ZeBDm2igHoAkSWPUq0DOSZKk2eckv+vaSJJUF3gTmIpqACT3+gD1qpK9\nQLj62nhJkmIlSTojSdIsrbD+kiSdlCTpvCRJhnsEFICVjSXKpGTNb2VSClZ6HWTW1lVJUofJzs7m\n74d/U0m9vUKNmtXYF+3H7qANtGjlgD7denoRsDvE4HoutjbW3L6VF39SUgo2ep2XtjZW3L6dF3/G\nw4dUrvw2NrbWmusASbdTsLWxRqlM4Zdfl3H1r+PcvHGKhxl/s29f3mzoFct/4tbN07z/Xj0WLV5d\nYBoBVLaqzD1lnqNwP/kelV8wS7djH3dOHijcDNEXYWVdFWVSiuZ3sjIVS7180g6jyqdHBttg+HTr\nTICfKj+ysrKYMm4O4Yf9iLuwn3ffr8vWDQVvcWJlbUmSjpYUrKyrGoTR1vJQXWbq1quJjMyWXcsJ\nj9rJ0BG6Ww78smguEdF+jB5v2riija0Vt24rNb9vJyVjo9dBph0mOzubjAx1+bEx8qxe50TNmtWw\nt2vI8ROnX6jhttZ7kpKSDQZK8tOgKtu6z+Zq+OmnWUyaNEfH2bh37wEWFhY4NG0MQI/uXlTXmrlY\nVFpkWSYkeAvHj4Uw8P/ytoIaO24G8+dN5drVWL6fP42pU+cZTaNXqeemULFiBby8OnDgQIxJ4bV5\nx6oKqcq8j+rU5Lu8Y/3OC57IQ5IkRs0YxsLZpn9Y6WNtY0nSbd022FrPkbPRCpOdnc3DjEdUqvw2\nZcuWYeTor/h+Xv5bdFSvYUtju/qcjEswQYuVTpuqTErGRt8e2Fjq5NPDh39TSZ1Pjo52HI8N5eiJ\nEEaNmKpx6GVZxn/POqJiAhjweeFnHle1fkcvj+6YnEcAljZV2bZ/HSEnd7N20SbuvkQnoDbvWL1D\nSlKenjvJd6lqVUg9kWYLioIAACAASURBVGsJPunHuj82cS+14Nm02lhZW5KclPfhnKxMNd4GK1Vh\ntO1B8J4Injx5QuyFSI4mhLN80Toy0h8WKn5trI3YJv1BNmvrPD9D24eoU68WMrBl1wrCo3YxbITh\n9h8VKpbHvbMr0VFHC6WrinUV7iTn2ey7KfeoYl34lT6uXVyI9D9Q6OesrHV9K1Ue6dlsm6oGdvLt\nSm9Rp24tkGU27VxO6MEdDFHbyaysLCaNnU1kjD+nLh7k3ffrsmXDrkJrs9Gr50lJyQYd8zZa9iBX\nm3573K2bJwkJ53n+/HmhNeRibW2J8nZe+VEqDds/a2u99u/h31SqpNJSo2Y19kf7syd4Iy1bORY6\n/qJOi4oVK+Dp2YEDBw4XqMXauirJWnUpRZmKtUG9zguj0pKfnxfMq6LvIxn1J0xIG2OsWP4TJ46H\nMmnSSJO0WBmkzR2D+mRpXZVkpaEPHLJnH0+ePOX4hX0cTghjhVabN33uBObP/KVQnToqLXntb4oy\nFUs9e2Rp9Q4pSXnt7yO1lkvnrtDBwwWFQkG1GjY0tPsQa9u8v2P+wpnsObCZYWMMtyUxRknKo5LU\nrkDR26bCaimqur1x5zLir0Tx+NFjggLCTdJSUtIF1D6wlh5lkqEe1Xfni2zAbgKCNtBSqx9i4pSR\nLP5jNU+fPjNZS3H0SeRHUaXLfw0bGytuJ+nlmUEbaKkJo8qzvHbHsZk9sXFhHI8NZeTIKZrvFlMp\nqu+m+T9MY/qU+S89ObS467ml9Tsaewwqm21p0Oa9o9Pm5drsS+ev0KGzc752EqB8hTdx69ROM5FA\nIPhf4X9q4EO9AsMDOCtJkgPwOdACaAkMkiSpSX7XjbyuL7AF1UDK+5IkabcIrYDPZFl2kyTJHXgX\naA7YAw6SJLVTh/tClmUHwBEYIUmSQW+8JElfSpIUJ0lS3NPn6Xr3jKjSH/I2EkiWITXlDk0buNHB\nqTszpsxnycoFvFm+nE64rj082b0zyEgk+cevP2PF2AxdWZbzffattyri4+3Oe++3omYtB8qVK8PH\nfbtrwgz6ciw1azlw6fKf9OpV8HJTlYiCdebi3M2Feo3rsXtZ4Tsk8o0+nzQoTBh7h0Y8ffqMKxf/\nAlQzhPp/3htP51441nfj4vkrDBtd8MeW0XhM1KtQmNO8ZVOGDZqAb+d+eHh3oG071QyDYYMm4Nam\nK109+tGilQO9Pio4b14+XQp+tly5smzftoIx42borBT6NzR4enbg7p17nDp91uB+v35DWbBgJkcO\nB/L3o8dkZeU5aUWVHs4uXWneojPePv0YMmQAbduqZqJ99eWnjBs/kzp1mzFu/CyWL/vJ4B2qOA2v\nFbb85odCoWDDhkUsWrSa69dvFhjeUNvLxQvQc0A3Du8/ptMpXyTx5xNm4pSRLFm0hsePnxh9d7ly\nZVm/aRGTvpnzwjL8gmgM88l4YwhAXFwCLZp1xqVdV8aOG6LZE9a9fS/atelCj25fMOir/rRu06xA\nLSYIM/nxVOUd+rh9hm+rPvj09jB57/T85bx8mdHoaT8A31Z98O7dufB6TKpPxsPYN21ITnYOzRt0\noG1TDwYN+4zqNW0NA5sqxag9MK3NMVcoaNGyKcMGjce38yc69gBUdXvpygWsXLaRmzduF06XkUQq\nTB4BVKpaiTof1CY2qvB7lr9KXVKYK2jWsinDv5xAV4/+eHi1p227Fpibm/PpF33o5NyTph+6cPH8\nFaPnsr0WbQWU8Q8/fJc5cyYyfPjLn61kSjz5hkEmNeUO9g1ccHPqyrTJ81i26icDH7Tg+A2vva60\nUCgUrFv3O4sXryEx8dZLiSmsliYOjXj29CmX1X7eq2Ba3hg+V1A9GzBgBA6OHXFr34O2bZrzySc9\nXpMW42HsmjYkOzublg060q6pJwOHfUr1mra4ubfj3r0HnEu4WGD8ehG9tJadm/eQokxl974NTJkz\nllOxCRofbuzgqXg796Gv90AcWzaha28vE6SUpDwqOJ5/q13JN67XZJteQoyReF5P3e7X8yscPnSl\nVOlSRlf6G0opQemSb1ympU1qyh2aNHDFzakb06bMZ+lKlQ1o2OgDatepQXCg8e1p89dieK2o+yTy\n1/L60+W/yKv2j8TFxtPMsRPOTr6MHTe00GdZFMV3U+fObty7e5949e4TL0Nx13Ojq+tN/LbdsSmA\nlOQ7+O/byNS54zh1IkFnQEqhUPDb8nmsW7GVWzeSCqVLIChu/lcGPspIkhQPxAE3gVVAW2C3LMuP\nZVl+BPgBTi+4rs9HwFZZlnPUYbQ3XYyQZTn3kAN39b/TwCngA1QDIaAa7EgAjgHVta5rkGV5uSzL\njrIsO5YppTt7JDkpVWc2g42tlcGS4mRlqmYLGYVCQfkK5UlLS+f580zS0lQDKWfiz5N4/RZ16+Xt\n31e/4fuYm5tzJv68kT9dxe2kZKpVz4vf1tZKZ4RYE6ZaXvwVK1TgwYN0km7nXQewrWaFMjmF9m5t\nSUy8xb17D8jKysLfP8RgtkNOTg47duzV2SboRdxPvk8Vm7wZXZWtq/DgjuEZFHZt7eg1vA9z/282\nWc8Ltx/ii0hWpuqsRrC2seSOkXzKDaPKpzd1ti3p0j1vmyuA+o1Uh+PdSFR1KAX6h+HQPP/DqfPi\nSdGZxWVtY0Vqsr6WFB0tFSqUJy0tg2RlCkcPx/LgQTpPnz5jf8QhGtmplvmnqN/x+NET/HYGYd+0\nUYFakm4nU71a3oqHarbWBkuItcMoFAoqVqzAgwdpJCUZeVY9Q9rc3Jwd21awZctu/P3zX7GU+/5q\nWu+xtbU22PIpPw2qsq37bLIyldatHfH2dufPK8fYtHExrq5tWLd2IQDHjp/E1a07rdt4Ex19jD//\nul6kWgBNmt69ex//gBDN8u3+/Xuxe7eqTO3cuVdzXZ9XqecFsWTx9/z113V+/31VgWGNcSf5LpY2\neWPOltbvcC/FtBUBjR0a0Pvz7gQc38bI6UPx7NmJ4ZMNDyd/EcqkFGyr6bXBevVJO4xCoaBCxTdJ\ne5COYzM7Zs2eQML5gwwZOoAx44Yw6Kv+gKoMr9u0iB3b9hC4p+BZgLnxVNPRYk2yXjujVKbo5FOF\nCuUN8unK5as8fvyE+vVVbUyuTbl39z6Be8JxcLQzSU8ud5R39PKoKndNzCNt7qbe4+rl6zRtWbj4\nDfQk38HKNk9PVet3XmoVyb3U+1y7fJ0mLQqnJ0WZqjP7ydrG0mDLo2RlKjbqmfPa9sC3pycH9x8m\nKyuL+/cecPL4aRrbNyi09lyURmyTQflV5s2a1PYhlMpUHXsQGXGIxnZ5274s+G0W167dYMWS9YXW\ndTf5LlW1ZmG/Y1WF+ymFW1nj6uNMTOhhsrMKNwMQcu1xXl1S5dGLbXaenUzl2OE40h6k8+zpM/ZH\nRNPQrj4NGn0AwA11J/pe/1AcWhRss/VJ0qvntrbWmtVBeWHy7IF+Pbe1tWLbtuUMHDjmpQabtVEq\nU7Cplld+bGyMtH9KvfavQnnSHqh9ULWmhPjzJF6/ST0tH9QUijItFi2az9Wr1/njD9NWFicrU7HW\nqktWNpakGKnX1jplxtDP89/1Yp/FVPR9JKP+RFJKvmmTH0q17X/06DFbt/nTzNEUv1M/baoa1KcU\nZapmSzzdNs+DQ/uPaNq8uOPxNLZvgEMLezp0diH6dDC/r/ie1k7N+GXpdwVq0W9/rWwsuaNnj1KS\n72Blm9f+vqnWkp2dzXfTfqaL68cM+XQsFSqU58Y1VbnJbcMfP37CXr9QGjctuF0uSXlUktoV1d9Q\ndLapsBR13f7nn+eEhxygk96Wl8YoSekCav9WS4+NraWRfogUnX6ICvn2Q9ykbr3aODZvgp19Q06e\niSQwdDN169XCP7BgP6K4+iT+rXT5L5KUlEw1W708M9YG2mrnmWEbePnyVZ48fkL9Bu8XKv6i+G5q\n0coBD6/2nL1wiDXrFtLOuRUrVhXunNjirucpyjs6W9SqbPZdwzBG+q2ys7OZO/UnfFz7Mrj/GCpU\nLE/i1TybMPfnqSReu8naZZsLpUkgKAn8rwx85J7xYS/L8teyLD/H6LxLeMH1vACS1BjVIEWEJEmJ\nqAZBtE+W1j6NSwLmacVfT5blVZIkuQAdgFayLNuhGhh5ozB/1OlTZ6lTtyY1atpiYWFB1+6ehAXr\nHvQZFryf3h93BcCnaydiDh0DVOcN5B5+XLNWNerUran5IAfo3tPrhas9QDXSXa9ebWrVqo6FhQW9\ne/sSGKh7OG1gYAT91Qc49+juxcGDhzXXe/f2pVSpUtSqVZ169WoTGxvPzVtKWrRoQpkyqqRwdW3L\npUuqGTJ169bSvNfLqwOXL5s2K+7PhCtY17ahanVLzC3McfJpx4mI4zphajeow5B5w5n7f7PJuF+4\nfdILIuHUOWrXqUn1GrZYWJjj092DiNCDOmEiQg7SU71KwtO3o2Z/RFCNvHv5urPXL1RzLTX5Du++\nX1ez3NLJtZVJBzzGnzpH7bo1qa4uM749PAgL0d0KJCzkAL37qsqMt687MYdUaXUw8jD1G7yv2eu0\nZZtmXLn8FwqFQrN9mrm5OR07/T/27jssiuvrA/h3WZYqYIlRF1BAMZbYIsYuNrBhr4maxCT6M9ZY\no7FHjcYYNcYSe8EOYqFKUaogvfdiAzUWNJoYo3DePxZGll2aYdnV93yeZx5xmJl7uHPn3jvtjm2l\nnliMiIxVKD+ubvIXeV3dvF+Xn9FDcKWo/Li6eSuUn/AI2ZBW+/b+gpTUTGz7dW+VYxg/bjjcSsXg\nVkYMbm7eGK8khuXLN8LSygbWzbtg4qQZuHIlBJ9/Ifs4Zv36spe6dHR0sGjhTOzd66jSWAwM9FGr\nluxJIQMDfdj1t0VSkmzcz7w799Crl2xM2T59eiCzxE2Ykv7LcV6eNasXwcTEGAsWVP2jtsWSY1PR\n2NIMUvNG0JZow254PwR6V5w2AKyYtRZDO43F8M7j8esPu+DhfAk7ftxTpfSjo+LRtGkTNG5iBolE\nglFjhsDTw09uGS8PP3wyUfYZqOEjByIwQFYHD7b/BO1a90a71r2xe9dhbNm8G/v2yMrDb7s2ID0t\nE7sqedENAKKi4mHV1AJNimIZPcYBHu7yT8x5uPvhk6KnP0eMHISAoiGImjQxEz7KZ24uhXVzK9y4\neVuh/PTt1wMpyelVyqOk2FQ0tjKDtLFsHw0Y0Q/+3pUb1uz9RvWhqyd7gsvIxAjtO7XB9cz/dlEl\nKTYV5pbmQpkZMLw/Ai5VrsyUjqddp7a4kVW1eOJikuTbg5ED4ePpL7eMr5c/Rhe3B8Netwe5t++g\nW9F48/oG+uhg0xZZGcqP28qILd2HGD0Y3qXaA2/PKxj3iezjtA7DByCkqA/h7xeMliXag67dOwkf\ncvxu2VwYGRthxRLlw+dVJDUuDaaWpmho3hDaEm30Hd4bV32qNlxW3+F94Heh6sNcAcXtZOOifSTB\n8FFK8sXrCsYW5cuQ4fYIKWonA/xC0LJ1c+gJ7aQNMtKycPfOPbk2u1fvbshMq/xHmYsV18dNmsjq\n47Fjh8LdXb4+dnf3FZ7yHjVqsPA9JRMTY7i4HMLKlZsQGlr1N2FKi4lKgJWVhVD/jRw9BF4K9d9l\nTPhEVv8NGzFQGPZMvg9qDqumFpV7s6IEVeXFqlULYWJihIUL16CyZP28xsJxPXzUIPh4yZcZH88r\nGDuhRJkJet0PFYlEcBhuj4su1XPjQ5Y3Fq/b7bHDlLfbk8YAAEZVot0Wi8XCECPa2toYPKif0J8o\nT3xMEiysGsOsRJ3n6xkgt0zJOm/QMDuECnXeXeEbG7I6rw2yMnLw89rt6NbGHj07DMbsqd/halAE\n5k3/vsJYEmKSYWFpDrPGUkgk2hgywh5+XvKx+HkFYNR4BwDAwKH9EBYs+waYnr4e9A1k5ybdbTuj\noKAAmek5EIvFwrBG2tra6GPfAxkpFX/UVpP2kSbVK4Dq2qY3oYpj28BQH+83kA3fKBaL0deuFzIr\n0ZZrUr4AsusQlk1ftwEjRg2BV6nrEF4elzH+U1kbUP51CAvcuH4Lhw+cRJsWPdGxbT84DPwUWZnX\nMcLhswpjqelrEjWdL++iqKh4NG32+rxlzJihiuctHr6YOElW74ws87zFFNbNrar8drEqzpvWrPoZ\nLZt3R5tWvTDl8zkIDAjF1K/mVykudR/nsjb7dTvpMHKA8nZygqydHDSsH0KDlLeTr4raSQCYv3QG\njIxrYe2yzVWKh725QqJ3clIXlX68W8UCARwWiUQbIbs5MRLA5KKflc0v6RMAq4lIOKsXiUQ5IpGo\niZJ0LgFYKxKJjhPRM5FIZArgJQATAPlE9LdIJGoB2bBaVVJQUIClC9filMsBiMVaOHnsLNJSM7H4\n+9mIi0nEJc8rOOHojB17NyEs5hIe5z/B/76UVb5dunfC4u9no+BVAQoKC7B43mr5p1NGDsKnY8r/\n7EhBQQG+/XYF3N2OQ0ushSOHTyM5JR2rVi5EVHQc3Nx8cOjQKRw+9CuSk4OR/+gxJk2eAQBITkmH\ns7Mr4uIuo+BVAebOXY7CwkJERMTAxcUD4de88OrVK8TGJmH//uMQiUQ4sH8rjI2NIBIB8fEpmDW7\ncq9TFxYUYu+K37Ha8QdoibXgd9oHt9Jv4tP5E5GZkIFwn3BMWfYl9A30sHj3EgDAg7z7WP/VWgDA\nj84/waypGfQM9XDg2mHsWLQdMYHRVdpPKxb/CEfn3yEWi3H6+Dmkp2Zh/tKZSIhJgo+XP04fc8G2\n3zcgMNIdj/OfYNbXi4X1O3friDt5d+Ua9Ht372Pbpt1wcj+MVy9fIfdWHubPXF6pWL5ftB4nz+6D\nWKyFU8fOIT01E4u+n4W4mCR4e17BScez+G3PT7ga7YXH+Y8x/cuFAIAnT/7Enp1H4Hn5DIgIfj6B\n8PMOhL6BPk667IO2RBtiLTGCAkJx7IhTpWKZ++1yeLifgFhLC4ePnEZycjpWr1qIyChZ+Tl46BSO\nHN6O1ORg5Oc/xqeTispPsqz8JMRdwauCAsyZuwyFhYXo3q0TJk8ag/iEZERGyG4arFixEZ5el8uN\nwb1UDKtWLURUiRgOH96OlKIYJpaIwcnZFfGlYijPgvnfYPCQ/tDS0sLePUflTmJVEUuDBvXh7CR7\nm0KsLcapU+fh7e0PAPhm+iJs2fIDtLW18c8//+CbbxYrxFsc15se5wCQnhYKY2Mj6OhIMGzoAAwZ\n8in+fPoMS5fORWpqBsKvyW7o7dp9GIcOnVQaQ1kKCgqwadk2bD+xGWKxFi6e8kB2+nX8b9GXSIlL\nQ6B3CFq1a4FNB9bBuLYReth1w/8WfonxfT6vUjrlpb94wRqcPX8IYrEYxx2dkJqSgaXL5yI2OhGe\nHn5wPHIGv+//BVFxfsjPf4yvvlD62ShBl64dMeHTkUhKTEXgVdnHXteu/gU+3gHlrldQUIBFC1bj\n3IUjEIu14HhUFsuy5d8iOjoBnh5+OHrkNPbu34LY+MvIz3+CKZ/Lbsh17WaDefOn4+WrVygsLMT8\nb1fi0cN8WFiY4/ip3wHIXp92OnMRvj4Vj29cOq6fvt+KXSe3QEssxoWTbshOy8E3i79GcmwqAryD\n0ap9C2w5uAHGtY3Qy647pi/6GmNsJ8HS2gLzV88qHs8NR3efRGZq1S8WK8azBTtPboGWWAsXT7kj\nOz0H0xd9heS4VKHM/HLwxxLxfIWxvSfD0roJ5q+aVRwOHH+vejwFBQVY+d2POOq0G2KxGGdOnEdG\nWhbmL5mB+Nhk+Hr54/Sxc9i6+0cERLjh8ePX7cHRA6ew+be18AlxgUgkgtOJC0hNzgAAbN/7E7p2\nt0GderURluCDrRt34fTx8j/6K2sP1uHk2f1FfQgXoQ8RG5MI7+I+xJ6fEBrtVdSHWACguD04DK/L\nTkJ74OsdgEbSBpi3aDrS07LgEygbMvLg3hM44ehc6TwqLCjE9hU7sOn4BmhpacHz9CVcT7+BKQs/\nR1pcOq76hOKDds2xdv9q1DKpha52XTBl/meY0k82dFQDswaoL62PuND4Ku2bkvmyfPF6nDi7F1pi\nLaHNXrh0FuJik+DjeQWnHM9i++8bERzlicf5TzDjq9ft5N5dR+DhdxoEwmWfIPh5y46ZrZt2wcX9\nCF6+eoXcW3cwb0bFF2qVxTZv3kq4uh4tGo7pDFJSMrBixXxER8fD3d0Xhw+fxsGDW5GYGID8/MeY\nPHkWAGD69M/RtKkFliyZjSVLZgMAhg6djPv3q/Y2TclYliz6AU7nDkBLLMYJR2ekpWZiybI5iI1O\nhJfnZRw/6oRde39GeKwPHuc/wdQp8wAAXbt3wpJlc/HqVQEKCwqw8NuVcn1QdeWFjo4ES5bMRmpq\nJkJDZQ///P77URw+fKrCWFYs/hHHnfdAq0Q/b+HSmYgr6uedOuaCX3/fgOBID1mZ+XqRsH6Xbja4\nk3dP4cLNstXzMWLMYOgb6CEi0RcnHV2w5addlcqbb79dATfXYxCLxTh85DRSUtKxcuUCREfFw83d\nB4cOn8Khg9uQnBSER48eY/JnM4X109KuwthI1m4PHToAQxwm4ubN23BzPQaJRAKxWAuXLwfjwMGK\nn9osKCjAqu824KjTbmiJteBUVOfNWzIDCbFJ8PUKKKrz1uNKhCuePP4Ts4vqPMcDp/Dzbz/gUogL\nRCLAuUSd9yYKCgqwZukmHDyzA2ItMZxPXkBmWjbmfjcdCbHJuHwpEE7HL2DzrrXwDT+Px/lPMG+a\n7Dit914dHDyzA1RIuHvnDyycsQIAoKMrwcEzO6CtrQ2xWAtXA8Nx2rHiD65r2j5SRb2yfv1SjB8/\nHAYG+sjMDMOhQ6ewfv22SsVT3W0TAKxYsxAjxwyBvoE+opNk29i8cWeFsVT3sW1gYICDx3dAV1cH\nWmItXA28BsdDZ96qfCmOZ+nCH3DGZT+0xGLhOsR3389BbEwiLnlexnFHZ1kbEOON/PwnmPbl6zbg\nu+/nyNqAwgIsnLeqym1A6Vhq6pqEuvJl5Q+LMHqMA/QN9BGXHIBjR53w88Ydb5xnyixatRERMfF4\n/PhP9BsxCTO+mozRQwdUaxrFCgoKsGD+Kpy/eFQ4b0lJycDyFfMQHZ0AD3dfHDl8GvsPbEVcwhXk\n5z/BF5/J6piu3TphwYLX5y3zvl2Bhw/zq5x+dZ83VVe+qOI4r0r6a5b8hMNOO6GlpQXnExeRkZaN\nb5fI2kk/r0CcOX4ev+xai8vhF/D48RPMnSq7JlfvvTo47LQThYWEe3f+wIJvZO1kw0bvY+aCr5GZ\nnoOLl2VtkuOB0zhz7Hy15BljNUFU1XGX1UEkEj0jolpK5s8HUPyF5v1EtK2C+c+IqJZIJMoBMIiI\nUktsawuAe0WTDRHNKvG7uQCKP8DwDMAkALcBnAdgCiANQH3Ibqb4l/V3NDBpoTGZnf9PxWPO15RB\nDao+XISqxDy7oe4Q5LwsrPowH6py/+/qfZPmv6jwta7/x5SO7akm7epZqTsEQeafeRUvVEMK6M0+\nmKcqTY0aVbxQDdGk8vvw3zf/8Hh1e1HwUt0hyGlZy0zdIQjS/9KcY/uRBvWtDCW66g5Bzl8vX6g7\nBEE9fSN1hyDQpL6V1LCuukMQaGtp1rN5N5+++ffEqpuWSHMGbDDRNVB3CAJtLbG6Q5DzSoPO4TSp\n3/nkn78qXqiGmOhp1vc38rKq563B6lKncT91hwAA0NKgcwMDDetbGWrrqzsEQdaDaM3ZUe+ADxt0\n0Zhrx9Up8V6YWsqJZvUqy6DspkfR/C0AFAbeK2d+raJ/FQZbJKKS77EdLvW7XwH8qiSEQeXFzRhj\njDHGGGOMMcYYY4yxmvVW3PhgjDHGGGOMMcYYY4wxxt5VhHfyhQ+10Zx3ZRljjDHGGGOMMcYYY4wx\nxv4jvvHBGGOMMcYYY4wxxhhjjLF3Bt/4YIwxxhhjjDHGGGOMMcbYO4O/8cEYY4wxxhhjjDHGGGOM\nqVEh8Tc+qhO/8cEYY4wxxhhjjDHGGGOMsXcG3/hgjDHGGGOMMcYYY4wxxtg7g298MMYYY4wxxhhj\njDHGGGPsnSEiHjusxkh0TDmzldCkTDHU0VN3CHI06fg00tFXdwiCp/8+V3cIgn9e/avuEOToiCXq\nDkGgSXkjUncAJehoa84+AoCCwkJ1hyAQiTRnT2lS/fuqsEDdIWgsiVhzPlf3quCVukMQaGlp1rNN\nGlXPqDuAEuoZGKs7BIEm9a0A4MWrl+oOQWAg0VV3CAJtLbG6QxC8KNCcffRSg+pfANASaVYdrCk0\nqT+jScc1ADy84avuEDSWgbSnukPQSNoa1Ad+/vyGJnWv3not3/9Yc05Eq1HKH+FqKSeac6Qwxhhj\njDHGGPt/TZNuejDGWE2o07ifukMQ5N/0U3cIjP2/Rhr1ePjbjx9FYIwxxhhjjDHGGGOMMcbYO4Nv\nfDDGGGOMMcYYY4wxxhhj7J3BNz4YY4wxxhhjjDHGGGOMMfbO4G98MMYYY4wxxhhjjDHGGGNqVEj8\njY/qxG98MMYYY4wxxhhjjDHGGGPsncE3PhhjjDHGGGOMMcYYY4wx9s7gGx+MMcYYY4wxxhhjjDHG\nGHtn8Dc+GGOMMcYYY4wxxhhjjDE1IvA3PqoTv/GhBvb2vZGYGIiU5GAsWjRT4fc6Ojo4fnw3UpKD\nERLsiiZNzITfLV48CynJwUhMDISdna0w38TEGKdO7UVCQgDi4/3RpXNHAMDGDcuRkBCA6CgfODnt\nh4mJsUpjad68KSIjvIXp4YNUzJn9NQDg+PHdwvyM9DBERngrpDfAvjeSEgORmhyMxWXEc+L4bqQm\nB+NqqXi+WzwLqcnBSEoMhH1RPLq6uggNcUNUpA/iYi9j1coFCtvctnUtHj9KV5hfUr/+vRAZ7YOY\nuMuYN/9/SuM6dGQ7YuIuw+/KWTRubAoA+KhjWwRddUXQVVcEh7rBYai9sM6MmVMQFuGJ0HBPHDi0\nDbq6OuXGUKy/jy71eAAAIABJREFUXS9ExfgiNv4y5i2YXmYssfGXcdnfRYilY8e2CA51Q3CoG0LC\n3OVi2bn7J2RdD0dYhGelYijWu18PBIa7ITjKEzO//VpJLBLsPrAZwVGecPU5CTNzqfC7lq2b4+Kl\n47h89QJ8Q84Jf/+wkQPhE+yCy1cvYNkaxf1VHlXkDQBoaWkh6Korzjjvr1I8xezteyMxIQDJycFY\ntLCM4+zYLiQnByM46HW5rlu3NrwvncGjh2nYtm3dG6VdWn+7XoiO9UNcwhXMLyOPjhz9DXEJV3Al\n4NzrPLJph6th7rga5o7QMA8MHWavsG5Zavq4XvvDd0hOCkJCvD9mzfxSIT1V1MGArJxEhF/C+XNH\nhHm9e3dH+DUvxMT44eCBbRCLxWXmk52dLWJi/RCf4I8FC75RGteRozsQn+AP/4DzaNxYFlffvj0Q\nHOKK8HAvBIe4wta2q8K6Z5z2ISLiUplpK4slPv4KkpICsXDhDKWxODruRFJSIAIDL8iV2UuXTuHB\ngxRs3fqD3Drjxg1DZKQ3IiIu4eLFo6hXr06lY4mLu4zExAAsXKg8XxwddyAxMQCBgfL5EhLihoiI\nSwgJcYOtbTdhndWrFyEjIxT37ydXOk9KxlPdeSORSLBz50YkJPgjLu4yRowYVGb6NXk89e3TA+HX\nvBAZ4Y2AK+fQtKmFSmMxM5PC19sJCfH+iIu9jNmzvlLY5vx5/8Orf3PLLT+qKDMXLhzBtWueiIry\nwfbt66GlVXYXuib7VsXmzfsfXlaQLwBgb9cbCfH+SE4KKrP8HnPcheSkIAQFXixVfk/j4YNUbNu6\nVum2zzofRHSUb7npV3eZAYB9e39B3u04xMb4yW1rzepFiI7yQWSENzzdT6BRowbyeVGD+6ldu9YI\nDnJFZIQ3wkI90Mmmfbn51KdfDwRHeCA02guzyuhf7Tm4BaHRXvDwPQXzxvL9KzfvkwgIdcWVkAvQ\n1dWBvr4ejp3+HUHh7ggIdcWyVfPLTb8kVbRNnl6nEBPrh9AwD4SGeaB+/Xplpl+TZaZYZeqZ6u5z\nmpo2gpvHcUREeeNahBe+mfFFmWkr069/T1yLvoTIWF/MnT9NaTwHDm9DZKwvfC47w7wonmKmZo1w\n804sZs2R1bu6ujrwueKMwKsXcTXcA0u+n1PpWKq7zNSqZSiUldAwD9y4GY1Nm1aWmf6b9rsBYPGi\nmUhODkZiQoBcP2/WrK8QE+2L2Bg/zJ4t3zbNmDEFiQkBiI3xw4Yfl5WbL9XdfxgzZigiIi4hOtoX\n69d/X2baNRVPeX09Ozvbaj+Wy6of9u7ZjKhIH0RH+eD0qb0wNDQAAHw2eRzu5MYjMsIbwaFu+Ozz\ncQpxaNqxXTKumj6He1PLf9yCXkMmYMQkxTj/i5q8jrZixXxcz4kU2vSBA/uqPBages4nNem8iTGN\nQERv7QSAADiW+L82gPsA3Ir+PwzAkipuczWADaXmtQeQUsF6/gBsyltGWyIlHV0zyszMIevmXUjf\noAnFxSVRm7a2pC2RCtOsWUtpz56jpC2R0qcTp9PpMxdIWyKlNm1tKS4uiQwMLaiZdWfKzMwhHV0z\n0pZI6ejRMzRt2gLSlkhJ36AJ1XuvBWlLpDRw0ATS1TMnbYmUNv28gzb9vENIR1WxlNz+nTv3yKpp\nJ7n52hIpbdnyO61avYm0JVISF02SoniaNe9CegZNKDYuiT5sayv8XiyR0sxZS+n3PUdJLJHSJ0Xx\niCVS+rCtLcXGJZG+oQU1LYpHomtGYomUjGs3I7FESrr6jenatSjq1t1B2N7HnQeS4zFnevr0mWxZ\nQyuFqbZRM8rOuk5tW9tSvdofUHx8MnXqaC+3zPxvV9CB/cfJ2NCKpnw+h846u5GxoRU1eK8V1TG2\nJmNDK7K26kx//PGA6hhb0wfNutL1nJv0fr2WZGxoRS5n3Wj6tEUKaRsZWMpNJrWaUnbWdWrTqhfV\nNWlO8fHJZPORndwy8+auoP37jpORgSV98dlscnZyJSMDS3q/XkuqbdSMjAwsqZnVx/THH/eF/w+w\nG0c9ujlQUlKqQprFk7R2K7nJrO6HlJN9g7q0s6cm9dtRUkIq2XYeKrfM0gU/0NGDp0hauxVN/3IB\nXTjrQdLarci8XhtKSkyl/j1GkrR2K2pt2ZXM6n5IrS270u1befRh0+4krd2Kzpw4T+OGTVFIW1l8\nqsobIwNLWvLdOjpz+gJ5evgppCvRMS130tUzp8ysHGr+QVcyMLSguLgkatu2t9wys2YvpT17j5JE\nx5QmTvyGzpy5QBIdUzKp3Yxse4+gGTO/o527DlWYlkTHlAz1LcqcjAytKCvrOrVu2ZNqG1tTfFwy\ndezQX26Zb+cup/37jpGhvgV9PnkWOTu5kqG+Bb1XtwUZ12pKhvoWZGXZif64d1/4f1mTOo7rL7/6\nlo46OpG2jimJJVJqKG1D4lL1kqrqvYULV9OJky7k5uZD2hIpSXRM6ebNXGrZqgdpS6S0dt0Wmjp1\nPhnoN1GYahlaUlbWdWrVsgeZGDej+Lhk+qhDP7ll5s5dRvv2HSMD/Sb02eRZ5OTkSgb6Tahrl8Fk\nZdWJDPSbkE1HO8rNvSO33oQJ0+j0qfOUlJiqNG1dXXO5SV+/CWVlXacWLbpTrVpWFBeXRO3a9ZVb\nZvbs72nvXkfS1TWnSZNm0JkzF0lX15zq1GlOffqMopkzl9KuXYeE5Q0MLOjevfsklbYlXV1z2rx5\nN61du0UhbT29xnKTgYGFEIuRUVOKi0ui9u37yS0zZ84y2rvXkfT0GtPkyTPJyeki6ek1ps6dB5Gl\npQ3p6TWmjz7qT7m5d4R1evUaThYWNvT06TOFNIun0rGpKm90dc1p3bqttGHDr0IeFOdT8aSudjIt\nPYtat+klbPfwkdMqjcXUvD3ZdLInsURKJnWsKS09S26bTSxt6NKlK3T9+i16v2FrEkukNVZm6tdv\nJfx87pwHTZ48UyFtdfWtLErkS4OGrYXlSk96+o0pK+s6fdCiGxnWspS1R+36yC0jK79HSUfXjCYW\nlV8dXTOqXceaevcZSTNnLqFduw4pbHvsuK/p5KlzlJiYqjRtVZbf3n1Gkk0ne0pITJHbVu26zYWf\n5367XNiuOvaTt7c/DXGYSNoSKTkMnUT+/iGkLZFSA5MWClOjOq0oJ/sGdWrbn8zea0OJCSnU8+Mh\ncst8N38NHT5wkhqYtKBpU+bT+bMe1MCkBUnrtqakxFTq0304NTBpQS0sulCjOq3IomF7GuXwGTUw\naUFm77Wh0JAI+mT0VLlt1mTbFBAQSt27OyhN00C/icrrvLLKTFn1TE30OZtZfUw9ujmQkYElNXr/\nQ8pIz1bYppGBJdWp1UxhqmfcnLKzblD7D/vQ+3VaUkJ8MnXpOFBumQXfrqSD+09QnVrN6KvP55KL\ns5vc7y+e96LzLh604vsNwjyzBm2pTq1mVL92C4oMjyW7PmPk1qnp/kzxFB0dT3b9x8rNq45+d9u2\nvSkuLokMa1mSdfMulJmVQ7p65tS+fV9KTEwhY5OmpKffmHz9Aqllqx4k0TGl/nZjydcvkAxryc4J\npKZtZXHUQP+hUaM2dPPmbTI1bUe6uubk6OhEAwdOUNp/UXdfrzi96jyWy6sfStb/W7fuoaXfryex\nREpTvvyWduw8qPS4VvexrUnncP/ez/pP01Wf8xQbfIkGD7D7z9v6936WStvtsq6jrflhMy1avEbh\nOpamnE9q12AfuDLnTeq+NvyuTc3e+4jexUld+fm2v/HxF4APRSKRftH/7QDkFv+SiC4S0cYqbvMk\ngPGl5k0AcOKNoyzh404dkJV1HTk5N/Hy5UucPnMBQ4cOkFtm6FB7ODo6AQDOnnVH3z49iuYPwOkz\nF/Dvv//i+vVbyMq6jo87dYCRUS306NEZBw+dBAC8fPkST578CQDw9Q1EQUEBAODatWiYmTZSaSwl\n9e3bA9nZN3DzZi5KGzNmKE6fvlBu3pw5cwHDSsUzrIx4hg0dgDNlxPPXX38DACQSbWhLJMU3qqCl\npYWfNq7AkqXlP0nf0aYdsrNv4Pr1W3j58iVcnN0wZEh/uWUGD+mPE8ddAADnz3nCtrfsCaXnz/8R\n8l9PT1dIGwDE2trQ19eDWCyGvr4+7t65V24cAGBTKpazzm4Y4mAnt8wQh/44efysEEvv3t0UY9HV\nRYlQcDUkAvmPHleYfkkdOrbB9exbuHnjNl6+fIkLLh4YMLiP3DL2g/rC6aRsP7tf8EYP2y4AANu+\n3ZCSlI7kxDQAQH7+ExQWFqKxhTmyM6/j0cN8AEBQQCgGV/KpFFXljVTaEAMG9sGRw6erkj2CTp3a\nK5TroaXeKJE7zlzc0aeoXP/993NcvRqBf/558UZpl2Zj0w7ZWa/zyNnZVTGPhtjh+DFZHp2rZB6V\np6aP6+n/+wzr1m8V/n///sNy46mues/UtBEGDeqHgwdPCtupV68OXrx4gYyMbACy+njkyMFK88nG\npr3CvnFwkC8nDkPsS+wbD2HfxMUl4e6dPwAAycnp0NXVhY6O7A0qQ0MDzJ79NX766Tel6SpTusw6\nObkqLbPHjjkDAFxcPNCnT3cAr8vsixf/yC0vEokgEomEJ+6MjWvhTiXqvOJYivPFyckVDqXKrIOD\nHY4XHdcuLh7o3bu7kC93ysiX8PAY3L37R6XzpHQ81Zk3APD55+OwadNOALIHUh4W1YGl1fTxREQw\nNjICAJiYGMntM1XEcvfuH4iJTQQAPHv2F1JTM2AqbShs75fNq7Hk+/VybWlpqiozT58+AwBoa2tD\nUiKPSlNH32rz5tVYWkG+lMwbYZ85XVTeHgnl112h/P7zQrE9MjQ0wNy5U7Fhw/Zy01dV+Q0KvoZH\n+Yp9mOJ9Vhxjyfyp6f1ERDA2fn0s5ZVT/3Xo2BY52TeF/tX5sx4YMFj+SdMBg/viTFH/yu3CJaF/\n1btvdyQnppXoXz1GYWEhnj//ByFB4QBk5wkJ8cloVOLYKouq2qbKqukyA1SunlFFn/Pe3fuIi00C\nIKv/0tIyIa3EPgKAjjZtkZN9AzeKz1XOumOQQz+5ZQYP6Y9TJ2TnKhfOe6FX79dv4Ax26I/r128h\nNSVDbh35tkG7wjpGljeqLTNNm1qgfv16CAkJV5r+f+l3Dx1qr1BmOnVqjxYtmuHatRhh3wUFhmH4\n8IEAgP9Nm4yff96Jf//9F4Biv7OsuKqj/2Bp2RgZGTl48OARAODy5eBy3xhVdTzl9fWU7Zf/eiyX\nVz+UrP/19PUqVXYBzTu25eKq4XO4/8KmfRuYFLV51aWmr6PVdCzAfz+f1LTzJsY0xdt+4wMAPAEM\nKfr5E8huXAAARCLRFyKRaEfRz2NFIlGiSCSKE4lEgUXzxCKRaLNIJEoQiUTxIpFoNhGlAXgsEok6\nl0hjHIBTRevsFolEkSKRKEkkEq2parBS04a4fTtP+H9u7h25k/riZW4VLVNQUIAnT/5EvXp1YCpV\nXFdq2hBWVk3w4MFDHNi/FRHhl7Dn959hYKCP0r74YgK8Ll1RaSwljR83HKdPn1eIo0ePzvjjj/vI\nzMwpMy0AuJ17R6FTUFY8UqmSdYvi0dLSQmSEN+7kxsPPLxDhETEAgJkzpsDVzbvCSlwqbYDc23dK\n/K130UgqP1xCI2lDYZmCggL8+eQp6ha92tvRph3CIjxx9ZoH5s1dgYKCAty5cw+/bd+PxJQgpGeF\n4s8/n+Ly5eBy4yhO53aJWPJy70DaqHQsDYRlCgoK8Oefr2OxsWmHaxFeCA33xLdzlgudoDfRsFED\n5OW+juVO3j00LBVLQ+n7yMu9KxdLnbq1YdXUAiDCcee98PJ3wjdzZMMRXc++iWbWljAzl0IsFmPA\n4H4K5aosqsqbjZtWYOWyjSgsLKxC7rxmKm2E27fky4+0xA1I2TIN5eJ68ueflR4GqCqk0oa4nVsq\nltLHmLSBsIwslqdCLDad2iMi8hKuRXhh7txllSo/NX1cW1lZYNzYYQgL9YDbRUc0a2apkJYq6r1f\nflmDpUvXyZWTBw8eQSKRoONHbQEAo0cNgXmJ4d7k0pQ2wO1c+W2XrmdKLlNcfkuXkxEjBiE+Lkk4\nAV+5cgG2b9+Pv/9WvNheFqmyv1MhltfLlBVLSa9evcKcOcsQGemNnJxItGxpjUOHTlUylpJl9g5M\nTUuX2YpjGTlyMOJK5MubUkXeFA9BuWrVQoSGuuP48d14//33lKdfw8fT//63EK4XHXE9OxITJ47G\nT5t2qDyWYk2amKF9uw9xLVwWi4ODHXJz7yA+vvzX7FVZZi5ePIqbN6Px7NlfcHHxUJ5+DfetHBzs\nkFeJfCn+u29VFFsVyy8ArF61CNu27cPz58/LT1/FZUaZtT98h5ysCHzyyUisXvOzXDo1uZ8WLFyF\njRuWIzsrAj9tXIHlyzeUGXOjRq/7ToCsf1V6mK5GJfpgBQUFePrnU9StWxtWzSxAAE6e3QfvgLOY\nOUdxuDhjEyPYD+yDoIDQMmMQ8kBFbRMA7Pn9Z4SGeeC7JbPLTr+Gy0xl6xlV98cbNzZF23atERkR\nW24cQlqNGiI3t2Q8dxXLjLQBcm+X6JM/eYa69erAwEAfc+dNw6YNig9IaGlpISDkItKyw+B/JQRR\nkXEVxqLKMgMAY8cNw1lntzLT/y/9bqlpI/n24/ZdmEobISk5DT17dkbdurWhr6+HgQP7wsxM1p+z\ntrZCj+6dERzkCl8fZ3Ts2K6MfKn+/kNW1g00b94UTZqYQSwWY+hQeyGuitR0X690etVxLFdUP+zf\ntwW5t2LR4oNm2LHzoDB/1MjBiI7ywdFjO2Faqmxo2rEt5I0azuE0jTquo834Zgqio3ywb+8vqF3b\nRKWxANVxPqlZ503szRUSvZOTurwLNz5OAZggEon0ALQFcK2M5VYCGEBE7SAbAgsApgGwBNCBiNoC\nOF40/yRkb3lAJBJ1AfCQiIofgVlGRDZFadmKRKK2VQlWJBIpzCv9BILyZcpeV1ssRocObbBnz1F0\n+ngA/vrrbyxePEtuuSVL5uDVq1c4UfSkj6piKSaRSODgYA/ns4od0wnjR+BUqbc9VBlPYWEhbDrZ\no4mlDTrZdEDr1h+gUaMGGDPaQa4TVJay0pRfRnG94vSjIuPQpdMg9LEdifkLpkNXVwe1axtjyJD+\naPthb3zQrBsMDAwwbvzwSsRSdjrCMlC6EAAgMjIOnTsNRO9eI7Bg4TeV/q5Idcci1hajU5ePMGva\nYowYNBmDhvRDj16d8eTJn1i6cC12H/wF5zyO4vbNXLx69Url8QDK82bgwL54cP8hYoueQH4TlYqr\nEmW/Orz5MVaURxGx6GQzALY9h2PBwhmVKj81eVwDsjGp//nnBbp0HYz9B09g/95fVB7P4MH9cf+P\nB4iOSVD4/aRJM7B582pcDXHD02d/4dUr5ScalSoDFSzTsqU11q5bgtmzZWM8t23bClZNm8D1YuW/\n7VHZWKpaZrW1tTFt2mR06TIYlpY2SEhIweLFiuPhKsaiOK+qsbRsaY1165Zg1qylFaZXcTyqyBsx\nzMykCA2NRNeuQ3DtWhQ2blxezem/2fE0d+5UDB02GRZWNjhy5DQ2/7xK5bEAsqfzz5zeh/kLV+Hp\n02fQ19fD90vmYPWazQrrlabKMjNs2GewtOwEXV0d4UlKxfRrrm+lr6+HpZXMl8rHprheeeW3bdtW\naNq0CS5e9Kqm9N8sb8qyYuVPsGzaCSdPnsPMGVNqJBZlfeD/TfsMCxethlXTTli4aA327vlFYRvl\npovKxaYtFqNzl48wc+oiDB84EYMc+qNHry7CMmKxGL/v34z9e47h5o3bZcZQfjr/rW0CgC+/nIuP\nPx4Iu/5j0b1bJ3z66ag3Tr+6yky11zNv2B83NDSA44ldWLJ4rdxT6/85njLyY8myOdi945DwdkdJ\nhYWFsO0+DB+26ImPOrZFy5bWlYhFNWWm2JgxQ3HG6WI56SvOq2xelLVuamomft68C54eJ+Hmegzx\nCcnC+Ym2thi165igR8+hWLJ0HU6c2F1GXNXff3j8+AnmzFkGR8ed8PNzxo0bt6tw3lSzfT1VHMsV\nbfPrqfNh3uQjpKRmYNxY2eUfN3cfNLXugo862sH/Sgh+3/ez3Pqadmy/jqvmz+E0TU1fR9uz5yg+\naNENHW3scefuH/i5xHeFNPd8UnGeOs+bGNMUb/2NDyKKB2AB2dseyh+/kwkBcFgkEk0FUPw1oP4A\nfieiV0XbelQ0/xSAMSKRSAuyGyAnS2xnnEgkigYQA6A1gFblxScSiaYVvSESWVj4F3Jv35F7EsPU\ntJHC6+65t+/AvGgZsVgMExNjPHqUj9u5iuveybuH27l3cPv2HeEJzbMu7ujQvo2w3OTJYzFkcH98\n9tkshXSqO5ZiAwf2QUxMAv7444Hc9sRiMUaMGAQnJR3WkmkBgJlpI4WhUMqKJzdXybp58us+efIn\nAgKvYoB9b3Ro/yGaNrVAWkoIMtPDYGCgj9Rk5W9c5ObehanZ66dBTE0bKgxLlVdiGbFYDGMTI4Wh\no9LTsvDX38/RqtUH6N2nO25cv4WHDx7h1atXcL14CZ27fKQ0/dLpmJWIRWraCHdKvbGSl/d6GbFY\nDGNjIzxSFstff6NVqw8qTLMsd/LuyT1B1UjaAPdKxSJbpqFcLPn5T3An7x7CQiKR/+gx/nn+Dy77\nBOHDdrJDycfLH0PtPsGwARORlXkdOdk3KxWPKvKmc9eOGDSkHxKSA3HoyHb0su2KfQe2VDKHZG7n\n3oGZuXz5uZN3V3GZEnGZGBsrxFUdcnPvyA13Z2raUPEYy70rLCOLRTGP0tKy8Pdff6NV64rLT00e\n14AsL13OuQMAzp/3RJs2LRXSqu56r1s3Gzg42CMjPQzHj+1Cnz7dceSwbMiXsGtR6NN3FLp1d0BQ\nUBgySr3pJqSZexdmpvLbLh7uoVheiWVKl1+paUOcPLUHU7+ej5wc2THzceeP0KFDGySnBMPXzwnN\nrC3h6VXxWxa5yv7OUrGUXKasY6mkdkXHd3b2DQDA2bNu6NKlYyVikT+uTU0bIS+vdJktOxZT04Y4\nfXovvi6RL/+FKvLm4cN8/PXX37hwQXbh2MXFHe3bf6g8/Ro8nt57ry7atmkl9C3OOF1E1642Ko9F\nW1sbTqf34eTJczh/3hOAbGgTC4vGiI70QWZ6GMzMGiHi2iU0aFBfMY9UXGZevHgBNzcfhSFBSv7N\nNdW3Ks6XqEgfZBTlS3gZ+VL8d5tXFFvu3SqV3y6dO6JDh7ZIS7uKy34usLa2hLf3mTLzRpXltzwn\nT52TGxqipvvAkyePxblzstMUZ2dXdOpU9sfN80r0nQBZ/0qhPch7/RS7WCyGkbER8vMfIy/vHkJD\nIvDo0WM8f/4P/HwC0bbd61OVzb+uQXb2DezbfbSc3CqRBypomwAI+fXs2V84c+YiOtoof0q+JstM\nVeoZVfXHtbW1cezELpw5fbFKDy3k5d2Ve3JdatpQ4Y122blKiT65SS3kP3qMjjbtsHrtYsQmXsH0\nGV9g3oLp+HraJLl1/3zyFCFB19DPrleFsaiqzABAmzYtoa0tRmxM2Q8k/Zd+t6xeKLGuWUPk3ZGt\ne/jwKXTuMgj9+o9B/qPHwsgFt3PvCm1VZGQsCgsL8d57dZXkS/X3HwDAw8MXvXoNR+/eI5GRkY3M\nzOvlLq/KeMrr65VOrzqO5crUD4WFhXByuohRI2UDhDx6lC88xX740Cm0L3HNBNC8Y1vIGzWcw2ma\nmr6O9scfD1BYWAgiwoEDx2FTot3W6PNJDTpvYkxTvPU3PopcBLAZ8jco5BDRdADLAZgDiBWJRPUA\niAAoPLZARLcAXAdgC2A0gDMAIBKJLAEsBNCv6A0RdwB65QVGRHuJyIaIbLS0DBERGYtmzSxhYWEO\niUSC8eOGw83NW24dNzdvTJ48FgAwevQQXPEPEeaPHzccOjo6sLAwR7NmlgiPiMG9e/dx+3Yemjdv\nCkA2rnBKSjoAwN6+NxYunIGRo77A8+fyQ52oIpZi48ePUDrMVb9+PZGWlin3OnZZ8YwbNxyupeJx\nLSMeVzdvjFMSz3vv1RWGEdHT00O/vj2RlpYFD08/mDXugGbNu6BZ8y74++/naNGqh9J9GB0Vj6ZN\nLdCkiRkkEglGjXGAh4ef3DIeHn74dKLsabURIwchsGj4gOJXjwHA3FwKa2tL3Lh5G7du5cHm4/bQ\n15cVH9ve3ZCWlqU0/ZKiouJhVSKW0WMc4OHuKx+Lux8+mThaiCWgrFiaW+HGzYqf9itLbHQiLJs2\nhnljU0gkEgwfNRjenlfklvH2uoKxn8jeZBky3B4hgbIXsgL8QtCydXPoFX3jpEt3G2QU/f31ik4W\nTEyM8flXE3DyqHOl4lFF3qxZ9TNaNu+ONq16YcrncxAYEIqpX82vUj5FRsYplGs3Nx+5ZdzcfF6X\n61FD4F9UrqtbVFQ8mjZ7nUdjxgxVzCMPX0ycJMujkWXmkSmsm1tV6mnRmjyuAeDiRS/0KRqr1LZX\nV6QXjYdaVjzVUe8tX74RllY2sG7eBRMnzcCVKyH4/Is5AID69esBAHR0dLBo4Uzs3euoNJ+iouIU\n9o27u3w5cffwKbFvBiMg4CoA2bHicvYQVq3chLCwKGH5/fuOoVnTzmjVsgf69xuLzIwcDBo4oZy9\nJVO6zI4dO1RpmZ00aQwAYNSowfD3v1ruNvPy7qFFC2vhYkC/fj2RmppZ6ViaNHkdi0K+uPtiYtFx\nPWpUqXxxOYSVKzchNDSywrQqQxV5U/w32NrKxlvv06c7UkqNs16sJo+n/PwnMDExhrW1FQCgf79e\nSE3NUGksALBv7y9ISc3Etl/3CttJTEyF1Kyd0Gbfvn0HnToPwL179xXySBVlxtDQAA0bvg9AdpI4\ncGCfMtvsmuxbJSamwtSsHaybd4F1Ub58XEa+vM4bi9f7bOww5e2RUH4rbo/27nOEpZUNPvigG/r2\nG4WMjBy5XN0vAAAgAElEQVTY24+rVN5UV5kpS8mhDoc62Mvts5ruA+fduYdevYqP8R4Kw72WFBud\nAKumTdC4iax/NWK0kv6V5xWMK+pfOQwfgJDAMACAv18wWrb+QPiGXNfunZBe9Hd/t2wujIyNsGJJ\n2cNslaaKtkksFgvDamhra2PgoL5ITk5Xmn5Nlpmq1DOq6o/v3L0RaWlZ2PnbgTLjVCY6KgFWTS3Q\nuPhcZfQQeLnLn6t4evhhQtGbNcNHDERQgKzMDBnwKdp/2AftP+yD33cdxtZffsf+vcdQ7726MDaR\njdGvp6cL2z7dkJ4u36dSRhVlptjYscPg5ORabvr/pd/t5uajUGYiioYkKu7PmZtLMWLEIOFblSX7\nndbWltCR6Ajf3CgvrurqPxTHVbu2CaZNm4xDh8q8HKLyeMrr6ynbL//1WC6vfmja1ELYrsMQO6Sl\nyeIobssB2Xdv0tPk+6KadmyXjKumz+E0TU1fRytZVkYMH4SkpDSVxlId55Oadt7EmMao6a+pV+cE\n4FnRv2YA5hb93BuAW9HPXwDYUfRz0xLrxQBoD2A6AGcA2kXz65ZYZgaAWAD+Jea1AxAH2Q2jBgDu\nAfii6Hf+AGzKi1dbIiVtiZQchk6itPQsyszMoeUrNpK2REpr122hESM/J22JlAxrWZKTsytlZGRT\neHg0WTfvQsXrLl+xkTIzcyg1LZOGOEwU5ne0saPIyFiKj0+i8xc86b36LUlbIqWMjGy6eTOXYmMT\nKTY2kfbsOSqso6pYjIyt6MGDR1S33gdyaWlLpHTkyGmaMeM7uXniElPpeMRF8Qwf+TmJJVIyKBVP\ns+ZdhHVLxyOWSKn9R/0oOiaB4uKTKCExhVat3iSXXvH09OkzEkukZGxopXQaPfJLykjPpuys6/TD\n6s1kbGhFGzdsp/Fjp5KxoRXVr9uCzrm4U1bmdYqMiKW2rW3J2NCKpn41n5KT0yguLoliYxLok/H/\nE7a54cdfKS0tk5KS0ujkCRd6r04LhXSNDCwVptEjpwixrFn1MxkZWNLGH3+lcWO+JiMDS3qvzgfk\nctadsjJzKDIiltq06kVGBpY09at5lJwkiyUmJoEmjJsmbNPpzEW6c+ce/fvvv3T7dh7NmP6dQrrS\n2q0Upklj/0dZGTmUk32DNq7dRtLarWjLT7vo809mkrR2K7Js0J5cz3lRdtYNio6Mpy7t7IV1Z01b\nTKnJGZSSnE47fz0gzD/n7E5pKZmUlpJJ079coDRdZfmiqrwpngYNmECeHn4K8yU6phVOQ4dNpvT0\nLMrMyqEVKzaSRMeU1q3bSiNHfUESHVOqZWRFzs6ulJGZQ+HhMdT8g67Cujk5N+nhw3x6+vQZ3bqV\nR23b9i43LUN9i3KnkSO+oPT0bMrKuk6rV/1MhvoWtOHHX2nsmK/JUN+C6tZuTi5n3SkzM4ciImKp\ndcueZKhvQV99KZ9H48dNrTAtdRzXdd9rQe7uvhSfkEyhoZHUoWN/Epeqh1RR7xVPffuNJjc3H+H/\nmzfvouSUdEpNy6T581eStkRKBvpNlE4jR3xO6elZlJV1nVat2kQG+k3oxx+30ZgxX5GBfhOqU7s5\nnT3rVrRvYqhVyx5koN+EVq/+mZ49+4vi4pKEqUnjj+S23eKD7pSUmKo0XV1dc4Vp2LDPhFhWrvyJ\ndHXNaf36rTRq1Jekq2tOxsbNyNlZFkt4eAy1aNFdWPf6dfky265dX9LVNaeZM5dSSko6xccnk5ub\nDzVq1EYhXT29xgrT8OGfl4hlE+npNab167fR6NFfkp5eYzIxsZbLlxYtupOeXmNatUqWL8XtX2xs\nIpmbdyA9vcb0yy+76fbtPCooKKDbt/No7dotCukqyxdV5Y21dRcKCgqj+Phkunw5mJo16yyXprra\nyVFjvqT4hGSKjUsif/8QuW2pIpZetsOJiCguPoliYhMpJjaRHIZOUmizc3Ju0vsNW5NYIq2RMtO4\n8UdFfaxkSkpKo127DpGhoaVCuurqWxVPOTk3qUHD1qQtkZKOrpnSaVhRe5SVdZ1WrPyJdHTNaN36\nrTRq1BTS0TUjI+Om5OzsKpTfD1p0E9bNKVV+27brI7dt6+ZdKDExVWm6qiozYomUTp46R3l5d+nf\nf/+lW7fy6Oup80kskdJZFzdKSEyhuPgkcnXzJvMmH8m1BzW5n2xth1NUVBzFxSXRtWtR9PHHA0hb\nIqUGJi2UTp+OmUaZRf2rH3/YSg1MWtAvP+2kyRO+oQYmLajx+23p4jlPys66TtGRcdSpbX9h3RlT\nF8n6V0nptGPbfmpg0oLat7QlIqK01ExKiE+mhPhkmjdruVyaNdU2vVevBUVHx1NC0fG0c8dBqmVo\nKZemKuuZ8spMWfVMTfQ57fqNJSKihIQUIb9Gj5yikG6dWs2UTmNHfUUZGdmUnXWD1q7+herUakab\nNvxGn4ybRnVqNaOG9VrReRcP4Vyl/Yd9FLaxcf2vtOL7DVSnVjPq3nkIxcUmUWJCCiUnpdGPa7cp\nLF/T/Zns7BvUvl1fpWlWV797xYqNlJmVQ2lpmeQwdJIwPygoTDinsx8wTphvYGhBx4+fpcTEFIqO\njic7+7Ek0TGtsf7D6dPnKTk5nZKT02nSpBll9l00oa83bNhn1X4sK6sftHVMKSQknOITkikhMYWO\nnzhLtes2J7FESht/2k6JSakUG5dEAf5X6aP2/TTm2Nakc7h/72f9p2nujKnUrWtnatWyJfXs3pVO\nHtz1n7anjutox445U0JCMsXHJ9FF10tkZt5eo84ntWuoD1zZ8yZ1Xxt+1yareh3oXZzUlZ8iIvV9\nYOS/EolEz4ioVql5vQEsJCIHkUj0BWQ3I2aJRCIXANaQveXhB+BbyIa82gRgIICXAPYRUfHH0OsD\nyAMwm4h+L7H9wwA6A8gG8ALARSI6LBKJ/IvSLfP2qETH9O3NbBXSpEwx1Cn3BZ4ap0nHp5GOfsUL\n1ZCn/5b/AdWa9M8rzfrol45You4QBJqUN0qGPFUbHW3N2UcAUFDiA3rqpmzcWXXRpPr3VeHb9xHK\nmiIRa6s7BMGrgsqNrV4TtLQ066Vujapn1B1ACfUMjNUdgkCT+lYvXr1UdwhyDCS66g5BoK0lrnih\nGvKiQHP200sNqn8BQEukWXWwptCk/owmHdcA1Prh39Lyb/pVvFANMpD2VHcIGklbg/rAz5/f0KTu\n1VvP6r0OmlMhVKPsBzFqKSeac6S8gdI3PYrm+UP29gWI6DCAw0U/K/tq3isA84um0tu5D0Dh6hQR\nfVFGLL0rFzVjjDHGGGOMMcYYY4wxxlSFH0VgjDHGGGOMMcYYY4wxxtg7g298MMYYY4wxxhhjjDHG\nGGPsnfFWD3XFGGOMMcYYY4wxxhhjjL3tiDTn23jvAn7jgzHGGGOMMcYYY4wxxhhj7wy+8cEYY4wx\nxhhjjDHGGGOMsXcG3/hgjDHGGGOMMcYYY4wxxtg7g7/xwRhjjDHGGGOMMcYYY4ypUSFI3SG8U/iN\nD8YYY4wxxhhjjDHGGGOMvTP4jY8apC3WnOwupEJ1hyAg0py7mc9fvkChBsXTsFYddYcguPssX90h\nCMRamnPPViQSQUukOfG8ePWvukMQaGuJ1R2CgDToqYlXhQXQFUvUHYbgFQrUHYJAR0tz2klNoiPW\nxstCzdlPhhJddYcgeK5BdZ6+BuULAOhr66g7BEH+P8/UHYKglo6+ukMQPP33ubpDkKMp7ba2jhhi\nDepbPX3xt7pDEGhS+RVBpO4QBDpiCQo06Py2nr6RukMQPP7nL3WHINCUOgYACok0qsxINChvNM3f\neUHqDkHQs+2X6g5BkP40V90hMPZW4CsMjJWgSTc92NtBk256sLeDJt30YG8HTbrpwd4OmnTTg70d\nNOmCpCbd9GBvB026gM3eDlxmymYg7anuEASadNODMfZ24hsfjDHGGGOMMcYYY4wxxpgaadKoOO8C\nfpyGMcYYY4wxxhhjjDHGGGPvDL7xwRhjjDHGGGOMMcYYY4yxdwbf+GCMMcYYY4wxxhhjjDHG2DuD\nb3wwxhhjjDHGGGOMMcYYY+ydwR83Z4wxxhhjjDHGGGOMMcbUqBD8cfPqxG98MMYYY4wxxhhjjDHG\nGGPsncE3PhhjjDHGGGOMMcYYY4wx9s7gGx+MMcYYY4wxxhhjjDHGGHtn8I0PNbOzs0Vc3GUkJgZg\n4cJvFH6vo6MDR8cdSEwMQGDgeTRubAYA6Nu3B0JC3BARcQkhIW6wte0mrLN69SJkZITi/v3kKsVi\nb9cbCfH+SE4KwsKFM5TGcsxxF5KTghAUeBFNmshiqVu3Ni5dOo2HD1Kxbetapds+63wQ0VG+VYvH\nvjcSEwKQnByMRQtnKo3n+LFdSE4ORnCQq1w83pfO4NHDNGzbtk5unR/WLEZWZjgePUyrMP0B9r2R\nlBiI1ORgLF6kPP0Tx3cjNTkYV4Nfpw8A3y2ehdTkYCQlBsLezlaYv2/vL8i7HYfYGD+5bf20YTkS\nEwIQHeUDZ6f9MDExLjOu3v26I+CaK4IjPTBz7ldK4pJg14HNCI70gKvPCZiZSwEAI8cMwaUAZ2G6\n+SAerT78AACweNkchCf4Iu1meI3ni66uLkJD3BAV6YO42MtYtXKBsPyB/VuRkRaKyAhvREZ4o127\n1uXGVt1lWF9fD+fPHUZ83BXERPti3dolFeZPMY06tu17IzExECnJwVhUxj47fnw3UpKDEVJqny1e\nPAspycFITAyEXYmybGJijFOn9iIhIQDx8f7o0rljpWKxs7NFfPwVJCUFlrmPHB13IikpEIGBF0rt\no1N48CAFW7f+ILeORCLBzp0bkZDgj7i4yxgxYlClYgFUU+95e59BQrw/wq95IfyaF+rXr1epWPrb\n9UJUjC9i4y9j3oLpSmM5dGQ7YuMv47K/Cxo3NgUAdOzYFsGhbggOdUNImDschtoL6yQkByI03BPB\noW7wD7qg1nxxveiIiPBLiIn2xY7ffoSWVuW6IKrIl527f0LW9XCERXhWOk9UGc+b7qfqrmf09fXg\n4nIIsbF+iIrywdq131Upb4r17d8TYVFeCI/1wZx505TEJcH+Q9sQHuuDS5edYF6UR+aNTXHrXjyu\nBF/AleAL2Lx1zRulb2dni5hYP8Qn+GPBAuX5cuToDsQn+MM/QD5fgkNcER7uheAQV9jadhXW8fQ6\nhZhYP4SGeSA0zKPSxzVQ/WVGV1cHVwLOISTMHdcivPD9sm8rHUuffj0QEumJsJhLmD1vqpJYJNh7\naAvCYi7B0++03L65fjcWfkHn4Bd0Dpu2rhbWkUgk2PzrD7ga5YXgCA8MGWavsF1l3rSfBwCLF81E\ncnIwEhMC5NqmWbO+Qky0L2Jj/DB7tmIfqSz9+vfEtehLiIz1xdz5ysqsDg4c3obIWF/4XHYW8qWY\nqVkj3LwTi1lzZGk2s7ZEQMhFYbqRG4PpM76odDzVXYZr1TIUym5omAdu3IzGpk0rK5k3vRAZ7YOY\nuMuYN/9/SmM5dGQ7YuIuw+/KWaH8ftSxLYKuuiLoqiuCQ92E8tvM2lKYH3TVFbfyYvFNJfOmuvcT\nABibGOGw428Ii/JCWKQXOn3cvsz0VdGfykgPQ0y0LyIjvBEW6iHMX716EaKjfBAZ4Q0P9xNo1KhB\nBXnTC+HR3oiK88O3ZeynA0d+RVScH3yuKOaNmVkj3LobJ5c3v+3agPSca7ga7lF6c+Xqb9cL0bF+\niEu4gvll1HlHjv6GuIQruBJwTigzffr2QFDIRVwL90RQyEW5Onjs2KG4Fu6JsGueOHfhMOrVq1Op\nWDSpP67uc7iSVLGPRo8egrBrnoiIvIS16yp/zqRp8aiizFy4cATXrnkiKsoH27evV2sfGAC0tLQQ\ndNUVZ5z3l5t+TZ5DrlgxH9dzIoXz/oED+1Yqjyqy/Mct6DVkAkZMUsw/VejS+2OcDjoKp5DjmDzr\nU4Xft+/cFkcu7UXwTT/0GWIr97uQW3446rMfR3324+fD698ofXW3k6x6ENE7OanLO3HjQyQSkUgk\ncizxf22RSHRfJBK5VbBeA5FI5CYSieJEIlGySCQqt1cnEoksRCJRYhm/8xeJRDZViVtLSwvbtq3F\n8OGfo0OH/hg7dhhatLCWW+aLL8YjP/8JPvzQFr/9dgDr18sa7YcP8zFmzJfo1GkApk6dj4MHtwrr\neHj4omfP4VUJBVpaWvj113UYNvwztGvfF+PHDVeIZcoXE/D48WO0at0T23/bj/XrvgcA/PPPC6xZ\nsxlLlqxTtmkMHz4Qz/76643iGTpsMtq164Px44ejZel4pkxA/uMnaNWqB7Zv34cf17+OZ/Wan/Hd\nEsWbMG7uvujew6FS6W//dT0chk5Cm3Z9MH78CLRsKZ/+l1M+QX7+E7Ro1QPbtu/Dhh+XAQBatrTG\nuHHD0bZ9XwxxmIjftr++wHf06BkMcZiokJ6vXyDate+LjzraISMjG0u+m1VmXOs2Lcfkcd+gT9dh\nGD56MKw/sJJbZsKkUXjy+E/0sBmMfbsd8f3q+QCAc87uGGA7BgNsx2Du9KW4dTMXyYmyG0C+l/zh\n0H+CWvLlxYsX6G8/Dh1t7NDRxh4D7Huj88cfCdv7buk62HSyh00ne8TFJZUbmyrK8NZte/B/7J13\nWBTX+7fvYcEWS6IxkWJvUWMHKypNpAoKamyxRBPT7Br9aixRUzQaY9TEijX2TrFX7IJgQbCi0myA\nvVD2/WOXZRvsqmzYn++5r4vrgpkzcz48z3PazJxzGjR0pllzT1q2cqCDu5NRdjKnsj3nz2n4+vai\nQUNnPsvDZ+lpD6lT15E/5yziZzWfdevqR8NGLvhoxfIfs35i964D1K/fjqZN23Mp9opRWv78cyp+\nfn1o1MiVrl312yU9/SH16rXlr78WM3XqWCDHRzMZM0a3EzhmzPfcu3ef+vWdaNTIlSNHThhtG1PV\ne336DqZZcw+aNffg3r0HRmmZOWsyAZ364dC0A4FdfKn9SQ2NNJ/36Up6+iMaNXBh3tylTFY+lI6J\nuUw7Rz8cW/rQ2b8vf/41FZlMprrO27MHji19cDIydkxllx49v8ahWQcaN3Hjww/LERBgXF1sCrus\nXrWRzv79jLLHf6EH3sxPpqhnZs9eSKNGrrRo4UXLlva4G1Hnaev6beZEugUMpLWDF50DfahVu7pG\nmp6fdyE9/SHNGrXnn3nLmDh5lOpc/I1bODv64ezox8hhE18r75z8Z/3xE538+9K0SXulXTR91Kdv\nV9LTH9KgvhNz/1qieiCisMsXNGvmwZcDR7B4yR8a1/XvP5SWLbxo2cLLqHKdo6egY+bly1f4ePWk\ndQtvWrf0wa19WxwcDA9CLSws+HXmBHoEDqRNMx86BXjr+KbH54Gkpz+iReMOLJi/nB8n536McPPG\nLVzbdMK1TSdGD5ukOj505CDu33tAq6YetGnmzfFwww/g3qafV+cTRX+iUSMXfHx7qR4i1atbmy/6\nd6dVax+a2rvj5eVGjRpVjdIyfeYkunYeQEsHTwICfahdW9NHvZR2sW/kxt/zgpj00yiN8z//Oo59\new6r/r565QbtWnekXeuOOLfx59nz5wTv2G1QS46ego7hJ0+eqmK3ZQsvbt9OZNu2nUZpmTlrEoGd\n+9PMvgMBeuNXUZ4bN3Rh/rwgVfxeirmMUxt/2rTyJcC/H7PnKOL36pUbtGnlS5tWvrRz9OP58xdG\n2cYUfgL4Zfp49u09TIumHrRp6Utc3LU88zdFfwrArX0X7B3cadHSS3Vs5sy/adK0PfYO7oSG7mX8\nuGH52mbGrEl06fwFLew9COjio+On3n268DD9IU0buipsM2W0xvlpv41jr5Zt1qzeTKB//zzzzUvL\nrD9+orN/X+ybuOcbvw3rOzNPI35T6RI4gObNPPlq4EgWLZkFgEwmY/qMCXh59qBFc08unI/lq0Gf\nG6XFnPrjhTmG09ZS0D4qW/Z9pv48Fh/vnjjYd+Cjjz7EyamVTt7mrsdUMdOr17c0b+5J06btKV++\nHAEB3kZpMVWf8+tv+3E5j7pOPf//egz555xFqnH/zp37DdrIGPy92vPPLP3jtYLGwsKCkT8PYVjP\nH+ju1Ad3Pxeq1KyskeZO4l2mDP2V3Vt0Pwp++eIVn7cfwOftBzCq77g3yr8w20mBwFx5J158AE+B\nTyVJKq78uz2QaMR1PwF75HJ5Q7lcXhd4vU8T3hIHh0ZcuxZPfPxtMjIy2LBhBz4+7TXS+Pi0Z/Xq\nTQBs3hyKk1NrAKKjL5KcfBdQNGxFixalSJEiAJw6dZaUlLtvpOXGjVtkZGSwfsN2fLW+DPD1dWfl\nqo1KLSE4Oyu0PHv2nGPHTvPi5Uud+773XgmGDBnIL7/MeTs967fp17NyAwCbNofg7OyoqeeFrp5T\npyKNsk0zh8Y6+Xf07aCRpqN6/ptCcFHm39G3A+vXb+PVq1fEx9/m2rV4mjk0BuBI+ElS09J18tuz\n9zBZWVkAnDgZia2ttV5djZrWJ/7GLW7dTCAjI5Ntm8Nw99T8GsLdy4UNaxVfDIds241j2+Y69/EL\n8GLbptwvnSPPnOPunfuFZpenT58BYGVliaWV1Ru9DTZFDD9//oJDh44DkJGRQdTZ89ja6feNPi3m\nULa1fbZu/TZ8tXzmm4fPfH07sE6Pz0qVKomjY3OWBq1R2ebhw0dG2yVHy4YNO/T6aJXKR6E6Pnr5\n8oXOffv06cr06fMAxdcRDx6kGWUbU9V7b4K9fUOuX7+piplNG4Px1ooZbx831ihjZuuWMNUA7vnz\nF6r6o1jRorztxxSmssvjx08AsLS0pEgR48q5qexy7Ohp0lJ16+LC0vMmmKKeef78BYcPq9V5URew\nta3wWrqa2DfgxvWb3FTq2rIpBE9vN400nt6urF2zBYDtW3fSxqmlvlu9Efb2jbh+LddHGzfuwMdH\nM359vN1ZvUphly1bQlU+io6+SEoe9e+b6zFNzGi2m5ZGlacmTRtw4/otbsYnkJGRwdbNoXh4u2qk\n8fByZf2/WwHYsXUXju0M+6Z7r87MmbUQUNTBqUaUrbfp5/n6uuv0JxwcGvHJJzU4efKsym5HDp/A\nz8/DoJamWjG7eVMInj6advHydmPtv5sB2LZ1J23VYtbLx434+NvEXtL/AUA7p1bE37hFwu0kg1rA\n9DFcvXoVypcvx9Gjhl9QNdWK380bg/HWKs9e3m78u1phm61bwmintI1G/BYrqjdGnZxaceP6LW4b\nYRtT+KlUqZK0auXAyuWKOMvIyODRw8d68zdFfyo/ctpMgBLvlci3jOf4SWWbjSF46dS7bqxZrah3\nt23ZqfJTjm1u3tCN4WNHT5OmZ9ySH/b2DXXiV6fO826vFr+5dd656Bi98StJEpIkUaJECQBKly6p\nasPyw5z644U9hlPHFD6qUrUSV6/c4P79VAAOHDiKn7/h+tfc9JgqZtT7wFZGjnVN1X+wsalABw9n\nli9bl2/+5jSGfBvsG9WnTOlSJs0jh7qNPyEhPpGkW8lkZmSyZ9t+2nZorZEmOSGFq5euI88u+K/f\nC7udFAjMlXflxQdAGJDz6rw7sCbnhCRJZSVJ2ipJ0jlJkk5IktRAecoaSMhJJ5fLzynTS5IkzZAk\n6YIkSeclSeqmnZkkScUlSVqrvOc6oLh2GkPY2FQgISFZ9XdiYrLOAwZFGsVgICsri0ePHutM7e3U\nyYvo6Iu8evXqdSVo5HM7IXfQkZiYjK3N62vRZtLEUcyevYjnz5+/lh5bG2sSbqvbJgUbrZcBtmr2\ny8rK4uGjR0ZPezaEja2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WbTOoJTLiPNWq58Zs5wBvdoZoxmxY6D4+U87y8fP34MghhV28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\nnsupywfZ57kFl9T40r5Taw777NT9BET6Ua5CaQDaftOSY757OHp6Nxt3riC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aZ+6MWePx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ha3xiSeNdSSeMYXleun1wIQ5PcYmyIO5HWxQ6lSUtG9FvfSLRFno1c2lWrsSlRq2WRqZU73\ndSPwmrODZ3ob3WaHK1f8KF6iCIULu6BSqejUKRMPcciTbt21HqJDh3QeYvc6Jk2cw/nzhpoPHfKm\nQQPtRudubnUNNq7MCprAhyjyOyLlswelEUau9VDfybi/gGTnhGRmgeZp7jqX38cjv4c4FHXErqC2\nzK7tXo8r6fLfIuWL0nfmAOb9OIN4vbRk42CLykS7BnUeqzyUrlaGkBwsoZQ+n+nc2T3TfKZ7906A\n1utldfPKLl3a5Wy2B5B4+z6qQs4YOWvTU56vG/HK55xBGGX+tI5p80a1SUqtkCfevo/CygJFPu0M\nGNMariQ9zvnm0M/8HmFXxAGb1LRUxb0Ot9KlJefyReg64yfW9J3LCz1vFRMcRYmaZVEoFSiMlJSo\nWc5gU/Tscs/vPs5FnXEo6ICRyojG7Rpx1vPchy/Uo3E7N7z35X6ZK4A71+9RsKgLTgUdMVIZ0bxd\nE04d9c3StRMGTqVNtU60rdGFRX8s59DOIyydkWFrwyzz+uYDjFO9FSojrFo3IMH7vEEYfW9l2aQm\nSaneysjBFik1PSmsLDCrUo6kxzn/TgnXHmFezBHTQnZIKiX27esQeTTNj6sTXuNbri/nqg/iXPVB\nxF95yI2ec0jwS/WUkoS9ey3C9ua+TH9x3R+zoo6YpPq8/O3qEW2g5RWXyvfhao3+XK3Rn4SrD7jb\nexYv/R6hMDNGkeplrBtUQlZrMmyKnl3U/vdROLqgsNembVW9xiRdNsxTki76YlReO7BIsrRG6VQQ\nTVgIrxZPJ65fV+L7f8vrjStI9DnG682rc6wl5UE6D9GgMckX0nmI874YVUwrtxXOBdGEBoOREZa/\nTyPx+FGSfE/mWMNbgvweY1PUgbypnrO8ey0efKDMjk4ts02szPlu3Qi85+wg8HLOymxDLY+wLeJA\nPp1/qJ3BP9gWSWvwLtX4KwP/0GPdSI7N2Z5j/5Ce29fvUaiYC06FtPlMi/ZNOHksa/mMvaMdJqba\ntG1pbYlr9YoE+GevYfvqlZsUK16EQql+5puOrTly0NsgzOFD3nz7vXbD7nbtv+a0jzbvad3ie1wr\nuOFawY2Vy9ezcP5K1qzejLm5GRYW2kF95uZmuDWpx9072Xtft67dpVCxgjgXckSlMqJV+2acOJpx\nA/VPhbZtpiAuhZxQqYxo06EF3kcM22a8j/jwzbfaxU9atm3CudNav2VqZqrbmLtuw5qkqNW6TdGH\njR2ApZUFU8dnfUPrT9VulVM+RZwJD48kKCiEEiW1A1MbNqzNfb0Nyt/FlSs3MvjxQwe9DMIcOuSl\n58db4pPqt6ytLdm9ey2TM/HjdnbaztG8ea346efubFifYYy2QCDIIrnbCesTI0lSaUAjy/LbWrcr\ncB+oBERKkmQBdAJ2pbv0PmAnSVJtWZbPpS59VUqW5dvZ1SDLcrwkSc8lSWovy/JeSZJMACVwFJgq\nSdIWWZZfSJLkDCTLspzlVnW1Ws3QoRPx8NiYujTVP9y9+5AJE4Zx9eoNDh70Yv36Haxdu5Bbt3yI\niYmlR49BAPTr14vixYswZsxgxowZDIC7ew+MjVWMGTOYe/f8OXfuIAArV25k/frtWdIzafRMNu5c\ngUKpYOfWvTy8/4ihYwZw8/ptvI74sGPzvyxcMZ0TlzyIi41ncN9RAGz6eztzl0zh6Jk9SBLs2rqP\ne3c+zgZjslrD8Qkb6LhpFAqlgls7fIh6EESdYR0Ju/mER55X+ap3cwrVK48mWc2buJccGaat2LnU\nLEOd4R3RpKiR1TJe49bxJi6z/q2soVFr2D7xb4ZsHI9CqeDMPycIefgc96FdeXrzETe8LtNxbA9M\nzE35ebl2en90UCTLf5qNrNGwe/omhm6ZiCRJPL31mNPbvT/wxHdjpFAwunF5Buy+iEYD7Sq4UDy/\nJcvPPKBcAWsaldCa9yP3gmlR2tFgimWKRsMP27WFv4WJEdNbuWKUzfW51Wo1E0bNYNOulSiVSnZs\n+ZcH9x4xbOxAbl67jeeRk+zYvIdFK2dy6vJBYmPiGJQaXwBq1qlKSHAoz56mVfDCQiNYNGcFOw+u\nJyU5haDAYIYN/D37L0etIXjSSopu/AMUCmJ2epH48Bn2Q7vx+uZDErwuYtvbHaumNZHVatSxCTwf\nsRgA69b1yFOjPMp8luTrpN0k7fmIRby5+yT7OlK1BE5YTYnNk5GUCqJ2ePPmQSCOw7/n1Q1/4jwv\nYt+nDdbNaqRqeUHAsMW6y0vtnoFJcReUeUypcPFvno5cSoLPtRxreTRuDRW2/Y6kVBC27Tiv7j+n\n8KiuJFx/RPSxd5vR4LVHKLV4IFV8FiJJELr9BK/u5ryhC7Rp++yEDbTcMgpJoeD+Dh9iHgRRdURH\nIvye8MzzKuV7N8e5Xnk0KWoS417iM1Sbts3yW9Fyy2hkjYZXoTGcHJL99ajVajW//TaBgwe2oFAq\n2LB+B3fuPmDSxBFcuerHgQOerFu3nfXrFnPnji8x0bF07zFAd/2D++ewsrLE2FhFW/cWtG79PXfv\nPWTmjPF07doec3MzHj+6xLp125g6bUGWdWnUGtZMXMXEjZNRKBV4/+NF4MNAvh32PY9u+HPJ6yI9\nx/XG1NyMEctHAxAZHMHMvtoVHaftnIlzcRdM85jy1/m1LBu1hOunchhnNGpeLFuE9Yx5oFDw5tgh\n1E8DMO/5AykP7pF0/izJly9iXKU6eVdvAI2Gl3+tQE7QNkxaz1+C0qUQkpkZ+Tbv5MXCOSRfyeEm\nuxo1CUsWkXf2PCSFgteHtVry9P6B5Pv3SDp3lqRLFzGuVh2btRtAreHF6hXI8VoteRctwaigVovt\n9p0kzJtD0uWcb/irUWs4OHE9PTeORqFUcPUfHyIeBtF4aEeCbj7hvtdVavZqTvG6FVCnaMumPcNX\nAlCzZ3NsCheg4a8daPhrBwA29pjFS70G3Q+hVqsZPmwi+/ZrPcTGjVoP8fuEoVy9epNDB73YsP4f\n1vy9gBs3TxITE0uvnlq/8Eu/nhQrXpgxY39lzNhfAWjr3oOIiCgm/D6LNX8vYM6ciURGRvPLLyOz\n+WI0JO79C7OfJoFCQfJFbzRhgRg3/w71c39dJ4jKtT4p1zM2rJj1n47C3hlMTDEf/xeJO5ehfnA9\nexreSlFrWD/xL8ZunIRCqeTkP148fxhIp2Hf8eSGP1e8LvH9uN6YmpsyZLm2fIoKjmBe3xk4l3Ch\n++99kGUZSZI4sHofgfezn+e9zWc8PDaler0d3L37gIkTh3Hlyk0OHvRM9XqLuH37FNHRsfTsOUh3\n/f37Z7C01OYz7u4taNOmu64zqlOnNrRr1ytH7wa1hqiZS3FYMRMUChL2HiX50VPyDuhF0u0HvPI5\nh9X37TFvVBs5RY0mPoHICXNTX6yG6AWrcVw9BySJxDsPSdCbvZldNGoNuyeuo//GcSiUCs7/c4LQ\nh89pObQzgTcfc8vrCu3GdsPE3ITey7XLUsYERbLmp3lcP3SeknXKM/roXJBl7vr4cdv73Xs6ZEXL\nnxOWMmfLTBQKBYd3HCXgwVP6jOjFfb8HnPU8R+nKpZi6ZjIW1hbUblaLPsN60qfJTwAUcCmAnZMd\nfudu5FiDPmq1mrnjFrJk23yUSgX7tx/k8YMAfhn5I3f97nHq2BnKVS7D3LXTscprSf1mdfh55A90\nbdTzozzfUIyG0D9WUHDtNCSlgthdx0jyf0b+Id15c/MhL45fIF/Pdlg2qYmcokYdl0DwaG3ZZ1K8\nEPZj+mqXaZEkov/eTeKDgBxLkdUaHoxdi+v28UhKBcHbTvDy/nOKjupCgt8jIo++f9+rvLXLkhgS\nxZtcDIbSodbweNwaym2boPVW24/z+kEgBUd+yws/f2Le461UttaU2zYBWZZJConGf/CfudejUfNq\nzWIsJswFhYKk44fRBAZg+m0f1P73Sb58lpTrF1G5VsNq0XrQaHi1cSXyi6yXP9nR8nLFIqymaj1E\nouch1M8CMOv+AykP75F84SzJVy6i+qo61iu0HuLVWq2HMHZrhlGFykhWVpg01W7q+2LhLNSPP9wQ\nmRmyWsPhievptnE0klLB9dQyu9GwjgTfeMIDr6tU79WcovUqaOuT8S/ZN0xbZtfo1RybIgVoMLgD\nDQZry+zNPWbxKhtltuFr0XBg4np6bRyDQqngyj8nCX8YRJOhnQi6+Zh7ev5Bk5LC67iX7B6u9bm1\nejbHtnAB3H7tgFuqf1ifTf+QHrVazexxC1m+bQEKpZJ92w7w+P4T+o/qy53r9/A55ks51zIsWDsT\nq7yWNGhWl34j+9KpYXeKlizCsMmDdGl744pt+N/L3qA1tVrNqBF/sGvvWpQKJVs27eLePX/Gjh/C\ntWs3OXLoOJs37mTlX/O4fN2LmJhY+vYZ+t572tnnZ9PWZYB2KeVd/3jg7ZW9GaZqtZrpY+exevuf\nKJQK/t3mwaP7Txg06mdu+93lxNHTVHAty+J1c7DKa0mj5vUZOPIn2jX8DoCN+1ZRtERhzPOY4X3N\ng4lDp3Hm5IUPPNXw+X+Mmc36nctQKBTs2rqfh/cf89uYfty8fgfvI6f4Z8te5i+fyvGL+4iNjWPI\nT9plpGzz52P9zmVoNDJhIeEM7z8B0O6/OXB4X/wfPGH/ce1sj01/7+CfzXs/qOVjt1tFREQxffpY\nunZth7m5Gf7+51m3bjvTpy/K0rv52HEGYPSIqaxaMx9jYxUBAYEM6j8mS1qGD5vE3v0bUSoVbNq4\nMxM/voM1fy/E7+YJYmLi6K3z470oVrww/4+98w6zpKq+9rtmyOAQJCoZCSI5J5UgiGQ+JCOYwPQD\nFEUUA0lEUQSJApJUEEEkCJIlSs5ZycGISkbCwPr+2Ke6qy+3exilzyngvM/DM3XrdlvL23WrTu2w\n9m5f35Hdvh77Nlx/Wx5//F/s/4Nvs+ii7wXge/sdzH33/ZexiBHYdY/vcf3Nt/Hkk0+zxkbb8PlP\nfYxN1v/wG36cysQz+tbaby/U5Q9U0tLErI7pgPHAfYQ91ReBLYCHgEeBh23vKel44Gzbv5a0BHAw\nMC2R4DnI9tHtn+k51qXAV2zfkF7vCTxr+4eS5geOBGYEXgY2tf2ApJ2BZgDBs8A2tu8f7v/PlFPO\n1ZkPe9ap/gdf3TeY/5t60dISBvjTmP7DwUtx4O6jY9Hy37DQ1y6a8A9l4pxp5y4tYYCXx3erce65\nlyctLWGAeybpbcYrxxcev7S0hAHWm3Wp0hKGcNRCo9cxMrG82iH72kPv787194B/jH6n0cTw9y8s\nWVrCANuf0pmlFaf//b8PuL/R3L3ggqUlDOGgp/oPuC/BbeMnzrpqNHnmlRcm/EOZ+Pk07ygtYYC/\nPj06s5n+W6YY87/blr1RvHel7py/r77QnevvYXd0554N8JK689mc88L/Vqj0RvLwc2/UzKH/ndmm\neu1A+ZK88MrLpSUM8JfnunOdmXKSyUpLGOClVzr0oAI88ch/X0T7RjPpjPNO3MDYyohMNvns3bmJ\nvIG89OJjRc6TTnd82L6RGCbeyzfTf70///HW9i3Aa4aNt3+mZ/+qPa/3bG3fS8wS6f2dHwM/7t1f\nqVQqlUqlUqlUKpVKpVKpVCqVSqUM3SpVrlQqlUqlUqlUKpVKpVKpVCqVSqVS+R/odMdHpVKpVCqV\nSqVSqVQqlUqlUqlUKm91ujyS4s1I7fioVCqVSqVSqVQqlUqlUqlUKpVKpfKWoSY+KpVKpVKpVCqV\nSqVSqVQqlUqlUqm8ZaiJj0qlUqlUKpVKpVKpVCqVSqVSqVQqbxnqjI9KpVKpVCqVSqVSqVQqlUql\nUqlUClInfLyx1I6PSqVSqVQqlUqlUqlUKpVKpVKpVCpvGWrio1KpVCqVSqVSqVQqlUqlUqlUKpXK\nW4aa+KhUKpVKpVKpVCqVSieYbdyzpSVUKpVKpVKpVN4CyK7uYW82JO1gt+Rg0gAAIABJREFU+6jS\nOqBqGYku6ala+tMlLdAtPVVLf6qW4emSnqqlP13SAt3SU7X0p0taoFt6qpb+dEkLdEtP1dKfLmmB\nbumpWvrTJS3QLT1VS3+6pAW6padLWiqV0aB2fLw52aG0gBZVy/B0SU/V0p8uaYFu6ala+lO1DE+X\n9FQt/emSFuiWnqqlP13SAt3SU7X0p0taoFt6qpb+dEkLdEtP1dKfLmmBbumpWvrTJS3QLT1d0lKp\nvOHUxEelUqlUKpVKpVKpVCqVSqVSqVQqlbcMNfFRqVQqlUqlUqlUKpVKpVKpVCqVSuUtQ018vDnp\nkv9e1TI8XdJTtfSnS1qgW3qqlv5ULcPTJT1VS3+6pAW6padq6U+XtEC39FQt/emSFuiWnqqlP13S\nAt3SU7X0p0taoFt6qpb+dEkLdEtPl7RUKm84dbh5pVKpVCqVSqVSqVQqlUqlUqlUKpW3DLXjo1Kp\nVCqVSqVSqVQqlUqlUqlUKpXKW4aa+KhUKpVKpVKpVCqVSqVSqVQqlUql8pZhktICKpVKJReSJrE9\nfkL7RlnDuJHet/10Li2VSqVSqVQqlUqlUqlUKpXKW5Ha8VGpVN5OXPc6940mdwJ3pH+fAB4BHk3b\nd2TW8qZC0jSlNZRC0v9rbU9fWMu5re2vltTSNSStUFpDg6Q5S2uoTBySxkp6l6Q5m/9Ka6oMImmM\npE7cp9O58qXCGp6Q9O/h/iusbT5Jk6ftVSXtJGm6AjrmeT37ctGVz6VSqVTeDkj6raSzhvuvsLZV\nJH0ibc9U8t5UqYw2teOj47SDXf2w/ZtcWhokrQzcYvs5SdsASwE/tv1wAS0Ctgbmtb13ChLMajt3\nMLvRMxOwG7AwMEWz3/bqmY7/DOB+b4UMj9htMAp6dhnpfds/yqRjZmA2YEpJixKfB8A4YKocGhps\nz5E0HQ6cZ/us9Hp94AM5tfRS+vx9HdwFZAsEpnPlaODdwLnAbrafSO9dZ3u5XFqAbwLN9f5i4rpb\nillb21sA+5cS0kEOJ/1tJF1te8WCWs5oaTnN9iYFtQwgaV3gfQy9xuxdSMvKwJ7AXMSauLlXzltA\ny47AHsDfgVfTbgOL5daS9Lybwc8lxNiXF9IyObAJMHePnqznje1XJd0qaU7bj+Q8dh8tr0jaEDiw\noIwZie/MHsDjwM/T663JvLbqw2nAMpLeAxwDnAWcBKxTQEfv/frXwNKZdTR05XNpCgUOAd4LTAaM\nBZ7L+awi6XjbH0/b29k+Idex+2i5wPZaafvrtvcrpaVNl+6TSU8n7k3pmWl7Xntf+mRuLS1N0wPz\nM3R9le2zkTTis4ntm96GWn6Y/v1/xPPTL9LrLYGHMml4DZL2AJYBFgSOAyYltK1cSlOlMprUxEf3\nWT/9OzOwEvD79Ho14FIGA2E5OQJYXNLiwFeJhfPPgA8W0HI4ESBYHdgbeIZY1C9bQAvAicCvgHWB\nzwLbEQ+DWbD9jlzHep00ehYk/iZNZcP6QM5F6rrAJ4HZiXOm4RngWxl1tFnO9uebF7Z/mxYhJSl6\n/sKIyTIBuTs+jiAe9q4BPg1cKWkD2/cTC8ScaJjtEvRLrhZD0ndt756217R9YUk5re0phv2pPLS1\nFAlQ9CLpJ0RAdDXgp8BHyd911+YY4EvAjcArBXUA7AwsaPtfhXUg6fvA5kSyuflcTN77dpszgaeI\nv9OLhTQ0zAbcKek64Llmp+0NCmj5g6RDift2W0uWgI7tVwAkrWV7+dZbh0i6Bvh+Dh3D8Krt8ZI2\nBg6yfYikm3MdXNJCRIJ32p4itnGUvTcU/Vx6OJQonjiVCMBtC7wns4bFW9s7A8USH8BMre1NgU4k\nPujQfbJj96YzgSuAiyi/fkDSp4lzeHbgFmAF4GoiRpKLA0Z4z5TRMgVxfbmVWBcvBlwLrJJDhO3L\nACTtY7td4PhbSaXWVAAbA0sCNwHY/oukrsWRKpU3jJr46Di2m/azs4GFbf81vZ4NOKyQrPG2nSrN\nfmz7GEnbFdKyvO2lmkW77SckTVZIC8A70+exc7rRXSbpslJiUqdDu+oja4Wi7b2SjguApWw/k17v\nSTzo5NJxHHCcpM1sn5LruBPg35K+RlRXGNiGsLsqSRfO3+8CPwD6zV3Jbc84je3z0vYPJd0InCfp\nY+QP/k8paUniM5gibQ8EtnNWUQHzSvpNOn6zPYDtETsVR4G1gd3T9veBkomPManibkxru/13ymn/\n4mG2S7KS7cUk3WZ7L0kHUKaAo+Ep2+dO+Mey8CgR3O8CGxFJmNJJhobZba9dWkRir9ICWqyU/m13\nvuQOLgFY0ubAKen5YPPMx+/Hy5K2JAo4miKynAULCwLrAdO1jg9RcLN9Rh29lP5chmD7PkljUxLt\nOElX5ZaQ+Xgj0SUtbbp0n+zSvWkq27uVFtFiZ6LI8Brbq6Xka9b7le3Vch5vJBotkk4GdrB9e3q9\nCPCVApJmkjSv7QeSjnkYmuzMzUvpfu2kZ+qCWiqVUacmPt48zN0kPRJ/BxYopOUZSV8nArUfkDSW\ncovml9Pxm4v2TAxaRBTRk/79a7Lz+AtReZEVSRsQlQ7vAv5BtATfTVSflWBO4KXW65eI1uAsSNqp\n33aD7YNzaWmxFbEgbR4mLifaXkvShfP3JuAM2zf2vpGqmXIiSdPafgrA9iWSNiG6ymbIrOVvwI/6\nbEP+QFfbMunQjMd9MzAtURXZJDvaCSmTt/NicUlPJy1TtrahgPVh4j/p3+clvQv4F5DdU7hlgXCJ\npB8QyZeBQEpmO4amy+0B4FJJ5/RoyWIJ2cMDxLquC8ElgKskLdoELkrSVG92gQ4FmbYiLIuOkPQq\n0SW5dVlJfILoXN3X9oMpyPSLCfzOG4btM4EzJa1o++pcx30dFP1ceng+FavdIml/4K9A7uDb7JIO\nJu6NzfYAtl/zzDCKzKvw/Fdru60la1dZl+6TLbp0bzpb0jq2f1daSOIF2y9IQtLktu+RtGApMSnB\n0Gud/LMCUhZqrx1s3yFpiQI6vkSs8R5Ir+cGPlNAR8Mpko4EppO0PeGMcXRBPZXKqCK7q8UFlTap\nlX1+4JdE8GQL4D7bOxbQMivxkHO97SsUczVWLXEzk7Q10fK6FNGe/FHgm7azdRP06FmPaHudg3gI\nHAfs1cxxyKjjViIQepHtJSWtBmxpe4ecOlp6vgFsBpxOnL8bE5WB3810/H1Get92KburTtGF8zct\n0v9l+5993pvF9t8zatkKeMD2NT375wS+Zbtk1WZnkDQJ4dH9lxI2PZIeIxJBIh4shgSKCwWOK32Q\n9C3i2rIG0bVq4Ke5r8GSLhnhbeecazQBi0PnnGMh6RDib/JuwgLmYoYGunIGAZF0e9IzCbEGfiDp\naTzms80/kfQpYAbbP0ivHyPukQK+avuIjFpmJwqirkyvd2HQCvIk2/dl1DIW+EKhApIRkTQlMKft\nPxY4dvNd6kvu7xIM/K1OsL1N7mP3Q9JcRCHfZMS9e1rg8Mzn74iOBTlnfkga0TI6d9K1Y/fJztyb\nNDhPU0Si7kWicKzIPM2WrtOJxOYXiRjAE8CktkvM79kDWJVIfPwO+Ahwpe2PFtDyS8IKsu2wMI3t\n7MWGinllC6WX95TuXJK0JrAWce6eX9gquFIZVWri402EwiP2/enl5bZPL6RjaqKq4BVJCxAX8HNt\nvzyBXx0tPQsRQRQBF9u+u4SOLiHpBtvLpATIko6BnLmHMfdqWppBP83LbZfyFC5KWpiO9DCc2yao\nU0iaxHY/m6vsdEzLssCjtv+WXm9LdF48DOyZ00JJ0mFEcOJOSeOAq4ihpNMBO+e2k5tA4HjAci+T\nlrmAJ5suoZR03ogYYHiY7ZdG+PU3WstUwMvNvTklFdcBHiq1fmiTHgCnaD6rQhoGbAdG2pdJy6a9\nRRv99o2yhpGCgM5d4JK+T8Ni++GMWq4H1m6Su5JuToUlUwAXeKh392hr+SVwou2z0+s/AkcR83MW\nsp2120LSZbZLzPkbFknrE0NlJ7M9T6rw3TtX1XyXAuptJJ0PrJ/zXjQSJZNTw6GwqHzShYMkkiYF\nFgH+bPsfJbWUpqvfp66SkmjTAueV+K6nooXFgZttLy5pFqLIZf0J/OpoaJkC+BzQ3KMvB46w/UKm\n44/4XG+7iN1r6vb7a/M5pGvxLLYfKqGnUhltauKjMtEofO7fD0xPtLPfADyf+0EraelnN/NMwSTM\nAsRA5FlsLyJpMWAD29/JrOMiIti2HzAjYXe1rO2VRvzF0dU0FpiFlsWeM80ckfRl2wdIOpA+SQfb\nww3UHg0ta6TNDQkrshPT6y2B+21/PZeWXrpw/kq6yfZSafuQEl1tXdUCfMj2vyV9ADgZ2BFYAnhv\nzioqSXfafl/a3hlYw/YGCuuis5vP7O2IpGuBjR1DApcghl7uRwxTfNl2Nrs2xdDET9m+V9J7iCHi\nJxIVeNfb/louLS1NUwFfJgJd20uan/DrPju3lqTnpt7zVdKNtpfuiJbX7MukZWfbP57Qvox6fm77\nYxPaN8oahpwXknZvulYlXW972YxahpwXTRImbV9h+/3D//ao6PkO8A7ivtQesn5bTh09mm4kqp4v\nbX02t9tetJSmLqCwNlkKOIuhf6vsnZGlk1NJw7eJDvR7UjL+XGJdNR7YyvZFGbX8BDgkFZVMSwym\nfoWwVv2K7V/m0tKj67vA/rafTK+nB75s+5sFtAwUX6bXY4HJbT9fQMvGwO9bhS7TEQ4YZ+TW0tK0\nCjC/7eMU9t/T2H6wgI7rbC+XrsOrEbON7mieHd5OSDpuhLdt+5PZxLSQdAMxd++l9Hoy4A851zKV\nSk7qjI+O02qnfM1blGunlO3nFW3/h9jeX9ItBXRA+KfPQbRziqg4/qukfwDbu8+cgFHmaGBX4EiI\nhz5JJwFZEx9EUP0FonV8a6LqI5tdRi+SdgT2IFraXyGdv0QwMAf3p3/vyHS8YbF9MUSVertCVNIZ\nQGnv8C6cv2ptr5zxuP3okpaxra6OzYGjbJ8GnFbg+tuuHlsT+DVACvar/6+MHgpv2ktTgF/AMQx2\nw2yXubtsStt/SdvbAMempOsYIPffaXrb96bt7YBf2t4xPdzcCGRPfADHpWOvmF4/BpwKZE18pE7R\n9wHT9lTjjaPlR51Jy0eITpx3a6i//Dgi+FaC7YDeJMfH++zLxZBgSQp25U5OTdt+0Up6jAHemVlL\n7zm6Rms7txaAptujnaQzgxW2JRhv+6meW1K2aj9JMwJfIJ5PjgV+QBSN3U8EjbPZOfXwl/TfGCJZ\nVZI9geWASwFs3yJp7swaNgcaO9ztiHXfTMQczROI4oVcvN/2Z9P2J4A/2d5IYTF9LmF3XYKP2N69\neWH7CUnrANkTH4TF1YeAZ9PrKYELgBKFfXu0u2dtP5k6kIskPtKxlwEWJNZakxL2TiWeX25IiaCj\niTXfs0TxTTY0aJXZF2eyyrT9iRzH+S+YpN0NZPul9HxQqbwlqYmPjmO79KK0H5K0IhFQ/1TaN7aQ\nlvOA022fn4StBawNnAIcDiyfWc9Utq/redDKHriw/VzrZRfaf3cmqnqz+/8DNNU3to8pcfxhmFnS\n3K2W0jmJh62SdOH87VIbYpe0jNWg9dYaQHteT+57+VOS1iaCJ6sA28NAMHLKzFogri/Hp+0tifb6\neYElgYMZtIjMQfvLszrwdQCH3WBGGcDQ83d1IvDWPNy8mltMYj7bm0vaMmn5T4lkGREYWI8olmhb\nLzxDOp8z8heic3YDIkDQ1vKlnELS32UrYB4NHaz7DmIQfVYkfR3YHZhS0tPNbiL5elRmORdI+k6f\nKue9icBbTp6RtIDtPwE0SfGU0Ht2xN8cBXJ3mLxO7lDM6RqbOst2ImwZc3ES8b2enwj4HUckDt8P\n/JTwv8+OM1o/vg76Jady85IH7S8+DJycugnuVswvy6qltb0mURSA7b8V/ozGKoZlvwgDljiTF9Iy\nhe2Ba5ztZ1MnaQnG9NlXMra2MbHuvQkGipGKxJFsfz5t/kTSecC4Ah2A62U+3oikLq49GCwIuIzo\ncCtl9/q4pA2c5nhK2hB4zXzNSuWtQk18VP4bdiaCOaendtx5gZEGoI0my7SqY7B9gaTv2t4ltSzn\n5p+S5iMFnCR9FPhrbhE9nUKTEVUfzxXqEAJ4FCjm494g6UL6W12tVUDOl4ErFN7cEA/Hnyugo00X\nzt+FJN1GBLfmS9tA/mG2HdPyS+AySf8E/kMMoSdZGOX+bn0WOBSYlahcbc6RDxHJ6NyM96C94XrA\nz1KS9SJJ+2fW8ntJpwB/I+wgfw8gaTaGBjVycJukHwJ/Bt5DCs6mKrxSvJSCJs01Zj5aA0pzYftM\n4ExJK9q+Ovfxe7TcCtwq6SQXsulscRVxzZ8ROKC1/xkgu22R7f2A/STt54I2kIldgZ9Kug+4Ne1b\nnAhuZ7OwS+wBnC1pX1KQi+iA2Z1Yo2dBYW84V/MdkrQTg0PWT3aBWTktdgS+QVxfTgLOJ2/36iy2\nd0+J3Ydt/yDtv0fSFzLqGEKyv/kq0UU10DnkjIOqW5ROTgG8KGkRoiN9NeArrfdyB9SflLQecc9e\nmVRcmBIwJYpKGn4BXJwsewx8knJFdc9JWsr2TUAzP/I/hbTcIOlHwGHE57IjQ4sXcvOSbUtq1ldT\n5xYg6S7CUvVk2/cDuNDMCLdmgClmjDQWTte5zMycYwnnic3S648RCfFSsz0/C5wo6VDiufZRYNtC\nWiqVUafO+Ki8qZF0AdH2enLatTlRJbM24WGe1Rs7JYGOIlpunwAeBLZ2xgGcw+jaCFiu3aqc+fjH\nEBW259AKcuX2FJbU7gCagrDDedH2rjl1tPRMSfjtA9xFLFpfKaEl6Sl+/qpbw2y7pGUeYkbObMQg\n3efS/gUID9+bRvr9UdL0mqCxpBVsX5NZx03AusQ5+zCwuu0703t3235vRi0i7kOzAqfa/nPavyQw\nc9OdmEnLlEQQdDbCcuvWtH8lovPi57m0tDStSdhjLEwkYlYGPm770txakp4piOBSbxAwu+dyCvzt\nR3w2bS3z5tbSRRS+8vMz9LO5vICOeRm03rqrCe4U0LEIgwFsiIDKD2xns/SUdCLwq1bF6J8Iq8Gp\niGvMNrm0dA0NnRHWO5OlyOyedOwLgF8RAf7PEvZOj9verYCWqYjkVFN8dD7wHWcaOpw0LE8E8WcC\nDrK9T9q/DvAx21tm1LIA0aU6a9JyfNr/YWAt21/OpaWPtrWJ4hYRa9Bsa5keHcsQ529jKTobsLnz\nW1s3iYVvEZ8LxJpm3x7XhZx6vkLcI9ck1hKfBE6yfUhGDYsDWxDB/X8SRVuntCxgsyNpM6Lj+VLi\n/H0/sKvtX2fWcYvtJSa0LzeSpiFiws+U1FGpjDY18VGZaLpULaTw0N2DsFsRcCWwF1EBPWdOD12F\nz/NHbZ+SFkNjunQTkXSN7RUKHXuPfvu70HIv6TLbH5zwT46qhg8Q9iIb2Z61kIZOnr+S3km0BT9S\n4sGmK1qUButKutj2GhP+jdGnX/BGBQZDpwrJIwnLxd/abqy3Pgh81fa6mfWMBc63/aEJ/vDbiJQU\nmh14HliBuGdfY7tYa72kU4F7iOvv3oSF5922s1XNt7RcSaxnDiTstz5BrNP73j9HWcsKwCHAe4mu\n0bEU7BqV9GkiiTc7MStnBeDqQuvOM4nA25mlAlwtLUs67wyj3uN3ash6j7YLgU09dCDzybY/nOn4\nTwKXMxhoa5J0AlaxPX0OHX10NWuJ25qu1RLr4HSf/F6pwqNeJE3Rm3CRNIMHZ6u9LenSeiY9p6wA\nXE8U0wm4p0SnZNfO34ZUXLIW8dmcb/vCglpWIAqBNgHuI+bMHV1Ax63Amk2XR4pjXWR78cw6riYS\nLlem1ysDP7S94si/+Ybr2Mb2LyTt0u/93EWplUouqtVV5b/hROKhbz1a1UIlhKSAyY7DvJ11cKDD\nw/3/iMqG0g/D7bbJMcSws2JZzibBofAatVv+rDmR1A7ajCGsIWYrpGVpIti2CVFpthNlBgUC3Tl/\nJZ0NfM32HQp7oJsIK5H5JB1l+6C3oxZgTEogLtBvsZpzoSppOWI49UwKa5OGcYStXlZsn506Ypa3\nfUXrrRuIh67cel6R9LykaV3Ou3eA9HC1JzAXse5rrNqydhIkC4YzUmLsnJzHHoH32N5U0oa2T5DU\nWOKUYErbF0tS6ibbU9IVRDIkN4cSVZunEuuHbQm7tFLsTNhUXGN7NcUsi1KFEz8iriv7SbqOWA+f\nnbNKva0l3ZtOJYL6d2Y+fu+Q9bZt6Iw5hfRhxibpAQMDmWfOePwNW9s/7Hmv93VOmiDxXyWtS1TO\nz55bRLpPZi2SmACnpfvAeBiwpzybeE7ISgrMbg/MTStWU6ITsUvrmfScckAKFGfrbBtGS6fO354E\nVbFkR5vU/X1NKhY4kFhXZE98EIV8bWurf9F/Psto81ngZ4pZHwL+DXy8gI7GAq2Lc4QrlVGjJj4q\n/w3vtH2MpJ1tX0b4zl9WQkiXuk8SF6ZW018BA8HjAhVD7WGt44GHGPoQlpVkyfBzYIb0+p/AtgUe\n0u8kEkAiPpcHyTzIVtJeRNDk70QL8LKE32gXBq934fydp2XV8QngQtvbpqTZH4CcyYYuadkC2Ii4\nb5derE5NBLUmIZJ2Dc8Am5YQ5BjYvT+RkGn2lUxAvwDcnqqO29+lnYb/lVHjGGJI9o1AMSu9xDWS\nlrV9fWEdDU0Q8Ml0n/obEWwqwQupovXelIT+M5AzUDsE2/dJGuuwXzxOUm7v/TYv2H5BEoohu/dI\nWrCEkNa6dyywOrGGOJZI/ObWspqkWQlbkaNSccevbOeaZfGspPc03dW2H4cBy56iBUDAq5LmtP1I\n0jQXGQuAbDfnyAnuluXXd1Lg7ctEV9c44v5QgpslnUUk7tr3yd8U0HIG8GtJmwBzAGcxdN5HTs4k\n5rhdRPl7NnRrPXNB+hv9xuVtSzpz/nYpQQUgaVlgS6K47yHCRvnUQnLOk3Q+8cwN8Qz+u9wiHHaz\nizdFmLafzq0hHffIdG962vaBJTRUKiWoiY/Kf0MnqoUSnek+STTVOO3BhQZyV9Z+IufxXgdHAbvY\nvgRA0qpE1cdKOUXYniPn8Ybh/4gEzIHA71LAtvTivaEL52+7ZX0NUnWQ7WckvZpRR6e02P4j8P1k\nT3FuzmP30XIJcImk41x2eG0vXXogPofudDU8VfqcabEa8BlJDxOBgqb7ZLFCeo5KFjjfIgJd06Tt\nEnyRmI2wE7APEVTfrpCW5yVNBtySEop/ZbBKsASPSZqOCE5eKOkJBj3es6OYn7M+EUBZinKDfrH9\nN+BgSZcQhUDfJt8Q7z2JIev7MHTI+reAvjYaGfkGcGWrMOsDwA45BaRg5EySJrP9Us5jD4fts9Pm\nU8T1uCQzENXX7WI1AyUCx0ena94ZRPL7M7ZLJXuncoGZKyPQpfXMLsS96BVJ/2FwDVHChrEz52+i\neIJK0neJ++ITxPzVlW0/luv4/bC9a3LCaGzRj7J9eq7jS1ofuM2DcyG/CGyS1sE7234wl5aGdG/a\ngIhFVCpvC+qMj8pEo/BTv4KoiGmqhfZyGm6YWUsnvGpHIvcDj6QNiYffZqDvDcDetq8sVQki6dZe\nL81++0ZZw7uB55PdwTLEAui+1kNgLh2TAmsTlTAfIFqS1wbebTt3YH+CFDh/f0sMCHyMqKKdx/aT\nKdB0g+33jfg/8BbV0tI0OVFBNTdDLRD2LqBlKeBrfbSUGtr6DPFAPJ54ACz5QNwZJH2PmNHwG+DF\nZr/tm4b9pdHTMle//a0HwkoHSH+nvxPzPb4ETAsc7oxz04ZDMbtnWuC8EsFkSb8ClgfOA04BLi11\n75b0XiLItCkxSPZk4LQeW4/R1rA4sBuvHbJ+Sy4Nw6GYA9jME7raBeYJSTqSSI6dxdBgZFYf9ZTA\nfMD2T3r2fwmYtSuB9twdgRpqHSrgY8DtwM1Qxu9e0neAq2xnr0ofjpQUWiC9/KMLzNWojIykfoUS\ntv2zjBr2IGZ5/CnXMV8v6X7wfjLPaZR0G7CC7edTDO1HRAxgSWIOVZa5U3107UuspXpdHrI/G1Qq\nOaiJj8qbGqWB3amF8WCiAvDXtucrrEtEJdVWwPq2Z8l03M8TVftfJRIeEP7c3wF+DOyeM9nQ0nU6\nUQ3487RrG2AZ2xtlOv43CDuKV4GfAesClwHLAdfb/nIOHX10TQVsQCyAlgcusL1tCS1tSp2/6dgz\nE0OGZwMOs31B2r8asLTtbN7YXdLS0nQeUak5xLbI9gEFtNwD7E4ECQYCf7bvz62lK0i6nRHsVEp0\nNqRK8D5SillCAiBpasK+bStnHkCfjv9B4Anbt0najEhE3wccYfvFkX/7DdUxI9Fl9wSRYP0B8XB+\nP/DlLiQbukK6Zy4MPNzYKhXQsDZhe1jcgkbSNYR9x6m2S3bALGr79lLHH47UzTU/Q61wLx/+N0ZF\nQ98ZPU6z7zLquAtYpDdJl+z1brO9SE49PRoWJuw8tyQ6FJfJeOwRZyjl/Dul4o3GjndqolDhZQoX\ncaQu/RMIyyIRhY/b5f4utfRsQNyvIRLPWQvYWjpmJwpAVyb+blcSFfxFOxwaJM0BbGH7BwWO/QXg\nRKc5S+lavKXtwzNqGG5O47zA0c40p7Fd6CnpWCJx+P30+qaCxWKdfDaoVEaLmviovG4kHcLIAZ3s\nXp/DdJ/safu3ubUkPcsTweKNiRbYLwBn2X4i0/HvJtpK/92z/51E1fouto/IoaXn+NMTg0hXSbsu\nJ7qEcn0udxGVFVMDDxPVbc+l7otbSlTu95JsPDZxwVkfpc/fyoSRdEfJAEUbSX+wvXIHdIz40JCz\nemm4joaWlrd1Z0OqGl2HuM6sDZxGWJNlvWdLOgxYjAiI/pGwuDqPsF8ca3vrjFouIB7G30FY6h0H\n/JZIfmxte9WMWuYnLIL+TVQlHs1gEubTOSuxk54NiKKWfwPfBA6NQI5RAAAgAElEQVQjOlHmBnaz\nnd1iStIUwOeJ9UwT7DrCZYabN9+phZKWPxbqgrmCWDOcQswYuSe3hl4kfRrYmbDivYXo/Lg6V1BH\n0ma2T8lxrNeDpDuHW+uO9N4o6pmLSHRsSXRpzkUURD2UU0dlwki6kShQ+GN6vQBR1V9i8Pv3iNmI\nJ6ZdWwI32v5aAS0XAicxtKhva9tr5tbS0jQj0QG4JfBu4HTb2WfVSLrF9hI9+262vWRGDQPXNUm7\nAwu5NacxVyFS6vhYCXiemC26ie0b0nt32V44h45K5e1OnfFRmRhumPCPZOeJZN004FUrKXsgLrUL\nbgY8QlTf7U1Y4WR/KO9NeqR9/5L0cO6kRwoQvCNVZu7U2j8L8J+MUl5MFbwvSrrPaeix7ZclZavs\nBZBUYhjgiHTp/G1pWoAYLDk3Q22UsleidEkLcFWHqmv3SjYeFzHUQim37eFI3S5mqP/yaDOb7Wsy\nHm9YJG1j+xc9Vh4D5LTwkLQm8SD+YeASIlCwnMvNo1rN9sLpHvVnYGaH5/GRwG2Ztcxie/fUafdw\nqzrznlQ1mZPjiK7IccC1hBf1xkTy41CiMzEn+wBrEXYMlwCL2X4gdeNdTJnZGj8DniGKbSDO658T\nwaasSFoHOJJITAmYR9JnnHmmj+33K+xENwdOSMmYX9n+Xk4dPexMBEivcQyBX4gowMnFtpI+CXze\n3ZiF9byk+W3f296Zkp051+NIuor4Tp8MfNT2vZIeLJn0SEHsTXsq1E8uYUMjaWPg9+n5timMWtX2\nGbm1JCZtkh4Atv+UCsdKsA6wRNO5JOkEwpYse+IDmMn2ca3Xx0v6Ym4RKZC/MVFQsgBwOjCv7VLz\nVwHGSJJThbVimPZkmTV0ZU7jQUTy/Wng7lbSY0liflpWUpHjUcB8RMf+J23fnVtHpZKbmvioTAy/\nYjCIPUB6AH26jCQOIbxzJ7RvtNmBqBo9Ajjb9gsqM7D6aUmL2761vVPhwZx9tgdRqXkerx309iGi\nWvJzmXRMqxguNgYYl6pIIQIF02bS0DBT+nd+wmqrqXRej7DfKkFXzt82pwI/AX5Ky9KpamEV4OOS\nHiSSDSWHQ29NVM1Pw6DVlQkv82zYLj2gtc3hpPuPpKttr1hQSzOM+h0FNTScT3RnruI0yFHSjwvq\neQEgXesebmyLbFtSbu/y9rF7ZxDknh0xje2jACR91vapaf+FkrLbZQCvOnmFp8DoAwC2/yFpfAE9\nAAt6qGXoJZJuHfanR5cfEUm8+wAkzUcMIc6a+ACw/WfgR5LOBb5OJK1KJj5eSN9vJE1u+x5JC+Y6\nuO31JG0EnCPpJGJ91baEfE2R0ijzbeBcxfyIxt9+GeJvlTtY+zjRiTMLsSa+lxEcBTIxU5P0AHDM\nA5y5kJY93Bq+7JgttwcxeL0EN0g6hsHOhq0ZPIdKMB3RBQj5n+Ha/FPSNkTBGEQS/F8FdPwDuI7o\nirwyrSU2LqCjzfnAKZJ+Qny3P0vEA3LyqKQdCceLpZrjK+Y0Zkvc2T42JVbnITpEG/4GlCj+OYwo\n5rucsNs+iChKqlTe0tTER2ViGC6IvSZ5g9hIWpFoG5ypp5p1HDHENTezElWJWwIHJd/EKSVNYjvn\nw/mXgbMkHUcsSk1UvG1HtODmZhXbO/TutH1iajvNxR+IjgaAqxhamXlVRh3Y/haAYi7NErafTq+/\nRSQXS9CV87fN+BK2bMPQJS0fKS2gxdJdsN2S9F3bu6ftNW1fWFJOa3uKYX8qA7aPTP9m9ZIfhqUJ\nD/eLJD1AVPqWuFc3zJzWDmptk17PNPyvjQrzSjorHbvZbrTMk1lLO9HSW9BSYoD3mFR5PQZ4NW03\n37ExBfQA3CxphaazK1VP/qGQln946AyYB4ggWFZS10AzZP0ZYi1Telj2Y6lS/gwicfcEMQcwG7bP\nSEUKlwOfYjC4b8JnPqeWc1MiZldgx7T7DsJ2JWsHqe0NJU0LbEJ0jr4HmE7Scravy6mlxSuS5rT9\nCAxYcZVKxvS7tpWM2XyOsL7dibj+Xk4UeZRgP+IafEnS8gEieVeCTxKdkAcS58pVaV9udifWV0cA\nJ0kq9SzZZjeiqO5zxN/pAqJ4LCefIhwMPgRs3kpsrkB0t2bD9qOSzmjbw9nO3u2RGNN6TjpVUqnv\nT6WSlTrjo/K6GcmHUJn9YRVDSVclKgh+0nrrGeC3va3cOUnWGesRQeRVgIttb5Xx+LMS/tPvIxYb\ndxKDmf+WS0NLy9223zux742SlrHARrZPy3XMkVAMhl7MyY9b0uTArbYXKqyr6Pnb0rEnEcA5naE2\nSrmrJDuhRdIMPbsMPOmCN/FUAbh/2wKhkI6B4YAqOCgwHf9W4t40Bvh92h5IhmQ+Zy6wvVba/rrt\n/XIdeyQUdpRbEkGvWwgP6qMya+jSQNsPTkBLtk5ASc8TA95F2CA0QXUR1hlTD/e7o6TnQQaH/fZi\n29mCx5JuT1omBRYkrCFNzCa4K2cSWNL/S5trpuOfkrRsSsz5+HIuLUnP9UQy89QmcNwl0ndsWuA8\nZ5qBktZ03wQ+CuzqQgOYh0PSNLafLa0DBpwDNifuC3PYnqOAhrUJ+5fmevsBYAfb5xfQcizwJFGZ\nbSJRNb3tjxfQsiRxL7izK3Y4ikHVyxL3hWtLPN8mHTPa7u3SLIakeYnv0BaEq8AexPrqT4V1zQDM\nbju3jWivjncQ64Yi1z3FbLnjnXlWWh8dDxAdHw0/bL+23VvgXKm8JaiJj8rrpktB7NZx53KHhsVK\nmqex8UivxxHVVFkrC7qCpMuIB77revYvCxxg+wOZ9Vxh+/05jzkckr5NeLI2iZiNiQXqdwrpGUN4\nLZ/S2jcO2NhlBsg+2Gd31kBXl7QMEwCcBriVGDr8UC4tLU23E37C9zHUditr4qFjiY+HiMr4LgRq\nBwZJlv5c+pGuOWsCW7jcrI/iSLrY9hqSvm+7aJV8qnIeltzrLUmr2L5S0hQuNDy8paUzn03q6h1B\nirNXHSs8/+cn7lP3luoW7VMkMIRcyWdJfyTWd/vYzjpDYyRSx/wxhK3dnAor3M/Y/nxBTVM7zd4r\n+VynGAy9AnH/vrpUUFvS1MC3iEp1iGr5fZvPKKOObxNuATcS8532s310Tg0tLTMTnQ3vIeYS7Nd0\nzBfQsj5wLDCesKrczHZW94AJIWlRYubHZrbnK3D8SwkbpUmIApfHgcts9505N8paFiFs2mYgvtuP\nA9vavjOzjruIZ6aHgecoZFXcxfVDpZKDmviovG66FsROx+7S0OG+wSVJN7ZbG0f5+E1F4mveoszN\ndTmiEvF4hnoKb0sEu67NrOebwLOEDcPAA0TBxfOyRFWZgSs6UAVyeYnvceW/J1X+7mB77QLH7vsw\nZfv+zDoeI7zuBXwpbbf1ZBvi3SW6lBBqaTqLqAw/M3cQp0fHwSO9b3unjFruIuwgfkIEKoYkzWzf\nlEtL12jWT105f3tJAcqNgK1sr1taD8S6IvdaQtKHicGxjxDn7+zA9rYvyKkjaelEl5CkhW3f1Xo9\ndclrXkvHtUQXylmtxPgdOTuWWlpWIuxviidhJImYXTGv7b0lzQnM2vvMm0HHWOB7tnfNedxhtNwJ\nLGv7eUnvJDqmli2k5TziOfJyoiv9HSU6YJKW24iEwj0Kq8P9bY/Yufl2oym8kfRpootrD0m35Y5D\nJC1XAd+wfUl6vSrwXdsrZTr+7wgnjr5B1y4V8FYqb2XqjI/KxLArMajqePoEsQtp6sTQYUkLEdZS\n07YsCCBmjuT0eV8v47EmiO3r0qLw88DH0+47geVtZ/ehBj6T/m3bQBiYs4AWgP8AzycNzxfS0OZC\nSV/htYmhnPY8q9v+fc/3aICcLbhd0jIctn+TEnoleAX4i+2XJK1CDDr/RQEdRzM4wLu9DZk9uiWN\nGJzNHMQebnZEo2WDjFoaDiAsTfaTdB1xrTm7QDV/ycGsvXwb+BoRLO5N0hnIVsgh6RlGLp4Yl0tL\n4uVUnTh7v2RVzgRVg6TJgHWIJNXaRFX/T0b8pdHXtDCxDt8SeIpYm+fkx8CHPDiIfgHgTCB7J7jt\n3HNx+tIkPdrBfaATHRYOv/n2rlLPTwcSQ3XPArB9q6RSxTeHE92aqxNzAZ4hvttZA/22X5GUpVju\ndfCC7ecBbP8rdWmWYlbb30jb50sqWRAw3vY9ALavTRZKxei5bzdf7Cb5W+K+DTBJsiTbDPjGhH54\nlJm6SXoA2L40FS3k4niia+sEIkn2csZjD4ukWYDvAu+y/ZG0jljR9jGFpVUqo0JNfFReNymIvRwx\n4OzjafcdlAtiQ3eGDi9IJB2mA9Zv7X8G2D6XiC5WDdj+O+EzWhwX8A0eDkn/RySETicWp6dIOsx2\nqYGBMDiU7wutfbmHcH6QmI2wfp/3DORMNnRJS18kTUO5Ib9nAMumzo+fAecAJ5E5Aes0j0HSyraH\nDBlWzJPIyQHp3ymI4OOtxPd7MeBaYm5OLjZsbf8w43GHxTGv4rJU1bo6cX88ligSyKkju33fcNj+\nNfBrSd+yvU9hLUUDOH1Yj7B7WZ3CySpJaxKJhQ8DlxDWGcuVsmlL1ltbpv/GE7M+lnEB20NiyPqA\nj7ztP0l6vICOIaSihVUY7Ko9o4CMLgX3AR5NyRinJN5OQLHZDR1KwixveylJNwPYfiJ9PiW4ORUq\nnMrQIqTca875WgUT6nmdu3hCkqZnMLA/tv06Z4EWMLOkXYZ7nbvLuIP3bYjk4fnAlbavV8wfKTV/\n9QFJ3yLu2RD2bf0sjEcF26dIOococrlB0s+JJGvzfqmu9OOJIe9NYupPRDFSTXxU3pJUq6vKf0Va\nDL6XuHD/0ZmGBfbRsScdGYCc9Kxo++oSx07H71S1Ztest2CgO2dhWp04tk8qoOM2YCWnIWspgH1V\nic+k0n16HrIapic8dA91Ad/lxn5G0q7Ai7YPVmuuRCk9E9qXScvJhCf37en1IsBXSlkzdAlJUxLJ\nxM2BpYiOjx0za/gtI3QD5QzodKlLSB2Zj9CLpMVt31ri2C0NrwJXAB93muUm6YFc1kk9Wq4ihnWf\nDJxs+15JD+budpDUfE/WJjqW2kPW77P9leF+N4O2w4l5AL9MuzYH7rf9heF/a1R0XGt7eQ2duXSr\n7cVz6mjpmZHUoUOsxS8Adrb9rwJafk10uR1KzNbYiUjeZXcRSBZgKwHXp3XNTMAFJdYz6u/Bb2f2\n3pc0on1TKmTIpeUhujM/bcRivqYYpwSpo6yZZXm5Cw8U7wIpQbYXkQQXYZe2p+0nMmqYjOjs3YpI\nLrQTH0XOF0nX21625950i+0lSuipVEab2vFRmWgkrQMcCdxP3EDmkfQZ2+cWkLNd+rfthZq7Qr3N\no5JOB1ZOOq4kHigey3HwDlZ9dMp6K1kCrQUsRFSifJj4G2VPfBDfnXa768v0X9BnJVUCzs3QmTk/\ny3j845vgsKTtSlZmd0kLQ+2bIK4vfwO2aYLrBRgvaVPgY4TPPcCkuUUohrWuBMzUkyAaB4zNrSex\nUPvvYvsOSVkfJkZIPANQKPH8K2JI6nnAYcCltl8d+bdGhU50wCQOGOG9rFZXRFfFsPMRyLy2knRI\nOi49VeEhKK/V1dKEndRFkh4gkg6lri+PE4mGWYCZiEraEpVsm7a2nyLWVBDdzjPnlzOEDwKLOFX4\nSTqBGIqcm651WPyTmGXRBT5LJGHeDTxGJGGyJqZaHEwU0c0saV9iDkoRG9FSXWS95ExsTAjbc5fW\n0FAysTESknYmumibzqATJR1l+5CMGr5qe//2vbtNCXvKlODIftwGSWsTCd6zgKUa+7gO8Jxidk9z\nj1yBuI9XKm9JasdHZaKRdA+wnu370uv5gHNsL1RWWXkkXUgE0dvtlFvbXrOQnpkZ2tnwSAkdXSEF\nApcAbrK9ePIfPTJzu3aj5auERcVpadfGwC9tFwvIpfbb+YBbGLQbcM6Fak/lSdGBtl3S0tK0qe1T\nJ7Qvk5ZFCLu2q2z/QtI8xJDffTPr+CCwKhFEaXvtPwP81nb29npJvyQsKn5BPFRsQwxw3TKjhrlG\ner+ENWJ6ALzQdrGZXJU3D5K2G+n9UsnoZKG3JbAJcb883fZRmTVMm46/JdHZMB3wYWcexjwckpa0\nfXPB4/8G+FJznUvXw+/lvAan43amwyLpec2sHCLYdYPtM3Pr6RKpI3wN4u90se0iCSpJswOHUKiI\nrqWjc8UTAJLeTVj7tQu0Li+gYyYi0TB3j5asnTktPbcRMxqeS6+nBq7O+XeStL7t3w537855z1bP\nXLs+WrI8+0u6Avis7TtzHO/1krqNDwEWIazrZwI+WruEKm9VauKjMtFIutz2B1qvBVzW3pdRy6TA\n54Dm2JcSgewig6P6ta+XaBtM9gMHAO8irMDmAu62/b7MOrpmvXWd7eUk3UgESp8Fbre9SE4dLT3L\nEi3JIlqSry+ho6XnbmBhF7wxtBMMpZMNXdLST9NI+96OSJqrFeQaQyQani6kZQqG3psuB45w/iHe\nnUDS6rZ/r/Dcfw3O710OgKQH6V+VWKRrNCUTe60Ys3XctXT0Xc+VCC51mXSd+RCwRalgV9IxC2Hl\ntAUwhwvNM1MMNd+CsPN4oaRlhqTLiMHUTSJoWeBqoBnWnL3gpQtIOoroem6KJTYB7gTmAB6w/cWM\nWjqThJG0KPG5QDwv3ZHz+D1aOlFE1yqeaLpwGj1bA8/b3junnqTp+8S17i6GFmiVKGC7irA/vLGl\nBdunDftLo6vndmDZZp2Z1qHX2160hJ7SKOZMPUrYHV5LTydrlzqaSiFpEmJOrQjr+k4MXq9URoNq\ndVV53bQCFndK+h1DvXxLBWyPIKxVmoHQH0v7Pl1Iz+OStmHQU3hLoERV1z6EX+5FtpeUtFrSkpUO\nWm/dLGk6YpjuDcDTQDb/9D78kagKnwRA0mKFKy3uAGYF/lpQw+zpYVit7QEyt0l3RoukjwDrAO/u\n0TGOGGybjdTl9zXgCeAgwvrwA8B9wPbOOJOgh/0kfZZ4AL0RmFbSj2z/ILeQ9OB5YPqvKKl9/RBi\nLtdkhD3Pc5kTzx8Efk/M9ujFDFoz5GaZ1vYUxHpmxDkXo4XCN3xVIvHxO+AjRKVv9sQHQ+1DpwCW\nI75TOW23BkiVtbvx2qRQKT2LMbTK9+wSOhps/52w6jl4Qp1ebzSpOn0LYo05lgigL990hRfk24WP\nD3QruJ94D7C67fEAko4gulDWJL8V2BT0T8J8StJqOZIwqXPqTOK8vY1Y7y0q6RFgw0LFEzPZbs/5\nOF5StoRUQ6uQZGXbK7fe+pqkPxADrHOzEbCg7Rcn+JOjz1S2dystosVxwLUKy20BG5J5UHVXuiwS\nsxLXtS2JZPw5hLNCpzovcjNcARKwgKRihUiVymhTEx+ViaEdsPg7EciA8BqePr8cICob2h0Wv5dU\ncgDmJ4khfQcSwZyrgBJerS/b/pekMZLG2L4kVckUpbT1lu3PpM3DJJ0PjCsVpE1Brh2AdsWxGawQ\nL8GMwF2SrgMGHioyL1TbAbcbMh63H13S8pekYQMiANnwDPClzFqOJ5K744gqqsa27f1EEnqFzHoa\nFrb9tKSticDxbsRnlT3xkaxw9uS1dgwlOgkOJQKTpxKB/m2J4Fc2bO+R/n3N/VDSJjm1tOljN3OQ\npCspEzT9KLA4cLPtT6Qq/p8W0IHtIQkqSXMA+5fQkjiRGAi6LmFptx2x9syOpGOBxYgAbTOfpkjy\nLnVY7ErPdYZMCSpJlxOzPH5FzJu6WzFkvXTSA9uXpSTQ/LYvkjQlMIntZzJLKR7c7+HdwNQMerlP\nDbzL9iuScgeTu5CE2YdYW63uNG9K0lhgP2BfYMdMOtr8syNFdA1TS1rF9pUwMAtw6kJaHiAKHruQ\n+Dhb0jq2f1daCIDtH0m6lBjiDfCJAnaDKzJCl0VOkqXqecB5kiYnvkeXStrbGeeedJB+BUgNJQuR\nKpVRpSY+Kq+bfgGLDvCKpPls3w8gaV5a7aa5SYH8IUHiVKVzUGYpT0qahrBXOVHSP8hcFd5mOOst\nIKv1VtKyBTCf7X0lzSFpads3TvAX33i2AubtSNVSw56lBTT+rxpmlsXbWMutwK2STupAK/I7bB8O\nIGl7283D+bmS9iuoa9Jkf7gRcKjtl9VnIHImjiESUkMsEEph+z5JY9OD4HHJoqErHMjgrKOsJI/j\nhjFEYqhUp+J/bL8qabykccS9sojlVh8eI3ygS/FO28dI2jnZU1yWrIxKsILthQsdu5dTiblGR1Pm\nOvMMsZ6blsHvTSc8lCVtTxSXzEDMLpud+KzWyCylC8H9NvsDt6QAqYhim+8q5gFclFlLF5IwHwIW\na5IeEAFTSbtT5u8D/YvoilnpAZ8Cjk3dMSb+XqX0PE+cvxcztECrxPDqnYHdJb0EvEQhG+ceXiH+\nRmYwMZ+TTnVZpITHuknP3ERn5Ns6sN/ReF6lMurUxEdlopF0HP09sUssgnYFLpH0ALHgmIsyHRYj\nsQv5Ex8bAv8hAm9bEw+lJVqSGzphvSXpUKJS6ANEJddzxIPwsrm1EBV/76ADVUvpczmpY36nX2ew\nQnKkfW83LR+WtA+DFb4lHrTaD1NPjfBebo4EHgJuBS5P1b69+nLxlO1zCx27l+clTUYEC/YnrOxK\nVWv2o1h2ikjIN4wnOvA2K6TlhmTFeDSRMHuWwfkEWZF0CIPrvDHAEsT3qhRNsvevktYlOuBmL6Tl\nakkL276r0PHbjLd9RKmD215X0gxEt9L3Jc0JTC9pqYKWhw1fICzargWwfW/qOs5NF4L7A6QE4u+I\nz0bA7rb/kt7edfjfHBW6kIR5qUlKtbE9vsTfJ/F8l2bQpOKwxVNCXrZLrasAzkr/Fadrds6SdiaG\nrZ9GfJ9+IemonN0NXeqykHQCUbBxLrBXybk9XSWtp97HUDeOkvGiSmXUqMPNKxNNjy3FFMDGwF9y\nV1sohkquQAQImsFM93Ssgh5Jj+YcNJlatM+3/aFcx5wQkm6wvUyyIVsyVbVeZ3u5zDpusr2UpJtt\nL5n2vWYgfSYtSwNnEJ7C7aql4bw3R1PLzoQVzmyEZcUvbd+SW0fS0syy2CxpaRhHWBllO2e6pKWl\n6T7g/wG3u9ANXNLzwD3ENXfBtE16vYDtTgTVFe0en7Z9dIFjf4/wu/8NQ7/f2YOBKQH0DyLp+yUi\nEX54F+xoACQ9YnvO0jq6hKS5CSvGIjOfJG3XejkeeMj2H0poSXrWI4bIzkHMqxlHBDKyB8AUg99/\nC/yN+G43yefFCmjZk/hun87Q68y/c2tJet5FrCW2AGaxnXXeSI+Wa20v36z3FENcb8r9d5L0KeCb\nwKW0gvuEFcyetnMnG5A0PTA/Q4Ndl+fWkbTMxmAS5rpWEibX8e8hgrO9CXgBv7D93oxa1idmEI4n\nKvc3s128OzPZLn6XSNh9RNLCwIq2s86P6KNremCOgvdJEcWF89jeJ1lCzma7VMHCbcTf5bn0emrg\n6gLXvN4ui7OAY23/ObOOV4kCRxhasNuFzpziSPoJMBWwGmGr+lHiGvyposIqlVGiJj4q/zMpAXGR\nCwyZlHS17RVzH3diKBHUUQwX+1jhqpwBJF1E2M/sR8yR+Acxn2WlzDquJfxHb0gJkHeSulBy6kha\n7iAecG6nVSVv++LcWlqa5mIwaDEF8WB+su0/ZdSwOFFdvDdDffafAS6x/cTbUUtL0yXAGm1bhgIa\n5hvp/cZ6sAuUCqqnv1MvLnGf7AKSbqe/BU6TLJs8s57jbX88bW/X2NqVoMdu6zXkTJZJmtOZZ2+9\n2UjJ51147b374QJaHuyz2y4zSwgYCAZODcxs+4GCOvYHniRmGu0IfB64y/Y3CmgpGtzv0fJpwqJn\nduAWooDs6lL3ptJJmNRtMmwwxPZqGbXcRiQ77pG0PLC/7Q9O6Pcy6DqXGJz9DduLpyTizbYXLaDl\nUsJSehLi/H0cuMz2LgW0HEHcA1a3/d50Ll9gu4SLQLPOWtb2C+n1FMD1Of9OPV0WJ9cui+4i6Tbb\ni7X+nQb4je21SmurVEaDmvio/M9IWhA4x3bWYanp2HsRFfO/KVX9nHQ8w/BBnSltZ7WVk3QK8TBz\nIYPVDqU8UJuqk/8QlhmN9daJfu1g2dHWsS3RobQMkXTYjKgaPTmnjqTlctslB5mPiKQlic9oMdtj\nCxx/UpefZQF0TsuyhHXcZQyt8P1RMVGFScGCvm9RJqi+EGFvcq3tZ1v7P+IC9lcpONrPnjJbcDQl\nVYcld9C4p+vvJtsjJh9GWUs7SbY00cXakDVZ1v4sJJ1mu9jg+aShbbn1GkqsaST9/u2awBwOST8D\n/o+oVL+BKHD5Xsn7UirK+hSwFnEvOB/4aYlnhdLB/R4ttxP2rtfYXiLdr/ayvXkBLZ1KwpSm915U\n+t7U0nG97WV77pu32F6igJamg+vTRLfHHk3gtoCWzrgIpGPvAmxHdABCFBwebzub3Xbtsnjz0OqK\nvIZwEvg34SYwf2FplcqoUGd8VCaaVpBf6d+/AbsVkrMLUVk2XtILFLqxumM+n8QwsXNKi4AB660z\nHdZbrwLZK2sVfsaft/0zSTcSwwwFbFqwGuV6xayGsxgawC7Ssg0R4AfWJjo+1iCC63sVktOFWRZd\n1LIv4f0/BTBZgeMj6QmGT/Ta9gyZJc0CfBjo7cARMRQ0G5J2Irzl7waaYcxnprf3JargcrNMa3sK\nYFNi4G82bD+sbtkwdqbqp11RnAIo2SqM+9C2e+nCYPUbWtt7AXuUEtLiHkknEXZX7Xt39oGpkqYi\n1sFz2t5B0vzAgrbPzixlUdtPS9qKGNz9VeJvVyTxka41J9jehpiZU4zhgvtAqeD+C7ZfkISkyVN3\nwYKFtOzMYBJmtSYJk1OApBHtZTN/r2dOweu+rwsmEp9LHfIGkLQC5eanTZI6qDYDsndv9fByutY0\nn8tMFJxzZ/tHqSNmFeJe/gnbN2fWMCbn8Sr/E2cr5srtzy4b5YsAACAASURBVGDBzU8L6qlURpWa\n+KhMNF0K8ndJS5ewfYKkKYmH4T8W1vKKpOclTVvQeut44ILUgru/7TsL6WjTzIdYtbXPhP9zViSt\nSXixrkcMAj0Z2MHJJ7YQB1F4lkVHtczQgTbkGQsfv5ezgWncZy5NegjMyfbA0rafVcxp+LWkuW3/\nmNd6iGehT2fdQZKuZKh9Ww4dXbgXNMwu6WDib9JsD1CqO5LyCRkPs12EtgWZpC+WtCRrMSWR8Ghf\nh03M88nNcUTAorENfQw4lbgm5mSyZH+zIXCE7ZckFTt/0rVmJkmT2X6plI5E8eB+D4+lYNcZwIWp\nkKGU9VYXkjDrp39nJr5Hv0+vVyPmsuT8Xh8NvGOE16XYhSjSmk/SH4CZiHkAJdib6N660vb1kuYF\n7i2k5WCiu2IWSfsSn8k3c4tIllafBd5DWDAebnt8bh2VNwfJOeBR2/uk19MQ5809wIEltVUqo0lN\nfFReN8mq4skmYCFpNaKN8iHgsJwPF5L+z/ahaft9HQlkdwbFgLwfEhXh80haAtjb9gaFJL0A3C6p\niPWW7VMknUME+m6Q9HOGenNnr6Ky/f7cxxyB3YGTgK+40FDUPjwK3NGBRAN0S8tFktayfUEpAbZf\nab+WNAMtCw8yB1E8wiA+21vl1AKMbeytbD8kaVUi+TEXhRIfGjpDYgzRAVIqmFL0XtCiPVD4hmF/\n6u3H4pKeJtl0pm3ohk1FF66/2P5EaQ0t5rO9uaQtAWz/R1KJ68xPgUeAO4DLJM1JzMIqyUPAHxQz\n79rXmtzrvS4E9wewvXHa3DPZ7E0LnFdITvEkTPN9lnQ2sLDtv6bXswGHZdZSMiE2LLZvkvRBYEHi\nXvBHF7J/tX0qkdxtXj8AFLFktH1ichFYg/hcNrJ9dwEpJwAvA1cAHwHeC3yxgI7Km4MjCecLJH0A\n+B4xB2sJ4CjKJTUrlVGlJj4qE8MpxHyEp1Ig/VRiWPUSwOHApzNq+SRwaNr+OVDcA7Vj7El0FFwK\nYPsWSfMU1NMF662XiYffyYmgX7F2ZBhoif4O8G7b60laGFjO9vG5tTTWKpLmk/Sc7RdTwHYx4Ge2\nn8ytibDK+J2kLsyy6JKWLwBflfQicU4XC0hKWpeoDpod+Bcx1+JPwEK5tXSIv0laouk+SZ0f6xHz\ncrIPAk0c0NoeTwQENysjZci9oAlkZw/UNp0DkjZNgZQBJG2aU4sG51gU7z5xgXlObzYkzQ4cAqxM\n/N2uBHa2/VgBOS+l7t7GamU+WveoXNg+kFalqKRHKWfl1PCX9N8YylbNFw/uNyjmntxmexEA25eV\n0NHQsSTM3E3SI/F3YIESQtLzwfbA3LRiNbY/WUjPpsB5tu+U9E1gKUnfsX1TRg3bA5favjcld48h\nArQPAdvltnRqMSPwvO3jUpfZPLYfzKxhYacB5pKOAa7LfPzKm4uxrSLHzYGjbJ8GnCbpNZ3zlcpb\nhZr4qEwMU9puFuvbAMfaPiAtpEteKItU0Xac8baf6in8K2k7UNR6S9LahNf0WcBStp/PraEPxwMn\nMjgf517gV2l/KU4DlpH0HuKh4iyiE2SdAlqKz7LoopaO2fvtSwT/LnAMm1yTQpV3HWJbIrkwQLIc\n2FbSkSUEFZ4ZAYCkDYHZbR+WXl9H2GWYcjPCAL5Oq3p0hH2jyQ3DbL/t0eBMOYCpOtKBchxxX2wS\nZNukfWsW0LIHESieQ9KJxPX447lFSBpHfA5zM/TZcpe+v5CBrlTPdym4b/tVSbdKmtP2IyU0NHQt\nCQNcKul84JfENWcL4JJCWs4kqvcvAl6ZwM/m4Fu2T5W0CjFP7YfAEcDyGTXszODz0ZbA4sA8wJKE\n5VT2LnpJexAdtAsS94BJgV8Q1+GcDHTf2B5fpumv8iZirKRJ0rPJGsAOrfdqbLjylqWe3JWJoX0n\nXZ0IDjQL6dxappO0MVHJNU49w+lcYMhkx7hDMWRyrGLY5U5kHvLbpgPWW98gBpl3yRJtZtsnSdqV\n/9/enUfbWZZ3H//+EqYwg+ASRRyQUQQZUiaLyvSCoiUoUBSpuF4LVkGwShVbRKiAyMK4wJeCL2Wy\nYkEE0QJhUsMUJARCGAu0r8wigxLm6ff+cd2b7Oycc5JQ8tx3cq7PWmdxnmfnrP0jOXvv57mH6wJs\nvySp9g3Oq+WieQIw0fYJkmqtomqhl0VPM1kkbQ3cbPsZSXsTu90mVhrEeNn2HyWNkSTbl5U6x6PW\nSKu+bV/TZRYASRsDfw+sX05NJfoc3dN349OFQ4iBpJ4lgE2BZYkBgy4nGpC0MzGh+7aBHRbLMzBx\ntaC1tPukNY1N9Pasavu0vuPTJVUpK1Lec6cRDbNF7Dx5rEKUi4BpRJ3w2rtpJ9o+SNIvGWLBT5cl\nXxsc3AdYDbitTD73lwDrtBRuS5MwJc+XyrVvr8/eKbbPrxRnads1FwQM6t2bfJTo4fMLSYd3nOHl\nvvJauxC70R8nyr8e23GWngnExMs0ANsPSarxmdUrUQmzl6lsoURlas/ZREnKx4DniElWyqLH2v33\nUlpgcuIjzY8rJZ0DPAysRGkAV+qgdt088LdA7yJ9MrOa00G9JpMtOYAY7H+BWJk4iSirVMvhVCy9\n1Vg/jZ5nSm+EXomK8dSvif1SqRX+N8x6TS1eKUv1XhZ9WspyEnGTsxExmHwqUe7vgxWy/FnSMkSp\nlzMlPUrlQa80i6RPAN8FjgKOJW6CNyV6jnyB+EzYrqM4S9i+v+/46rLV/onyO9S1h4hJoI8TzaF7\nZgIHV8gDbew+SXP3WJl0Prsc70WU+qtlKeBJ4p5ufUnYntxxhqUr9OkZzlnlv8dVTUF7g/tFEzth\niiYmYfpcS0x8m7rlgn4l6SO2L6qYod+DZcfq9sB3JS1JLDzs0qtlvOFJ4rqlf5HNuI6z9Lxo25J6\n93E1rmWyRGWaL7a/I+kK4v33Uvu1/pVjiPGjlBZJchO9WtPCoNTU3JN4ozzH9oPl/MbE6vVJFTLN\nUUuzUn3NpkjauGK90zlIut725pJusr1xOXeL7Q1rZ6tF0mbAD4D3AtOJ/gi71/x3U/QZ2R+4zvbZ\nZXJqT9vHVMgyE1iGmLyr3cuipSzTbG8i6TDgQdun9s5VyLIc8CxxsbwPUcLjzEorjtMASbcAH7f9\n/wbOvxO4Ezje9qEdZbnH9nuGeexe22t2kWOI517clZq09mXo7T7Zgyh32LM8Ubv7L6oES0NSNO4+\nEdiynLqG2Gnx+wpZvktcl9/GrElndz1wLOmrxOTPr5i9D9ZTw/7QgsvS0iQDkq4ExhMD6S0M7jdD\n0TB7DjV2xkjaA/gesUBLROmkr9n+WYUsvWvOF8tX1ZX7kpYGdgJmlB4bqwHv63IxkKJX2snAWOCX\ntj9fzn8QOMT2R7vK0pfpq8BaRJnDo4n+oz+xfULXWVJKKY0sJz7S6ybpTcSW4Pts3zi3P7+AMswx\n4CfpRtub1sjTilJHeDVipehPa5d4UjRbuwL4OtED4EBgcdv718xVm6QlgPWIm5rbbXe9cyotZBQN\n1i8B9iXef/9IlL7qvHG2pKMGB86HOpfqkHS77fWHeewu2+t0mOXfiMakPxo4vx/wIdt7dZVl4Pl3\nAY4E3kGsmO98gKns3no/cARwWN9DM4Ff236yqyxp4SLpLmBD2503NB/IsT+xu6y/J4ttr1Ehy2v3\nBZLOs12171RLg/sAkrYATiCuPZcgBpKfGe3lcCRNB3aw/Wg5XhW43PZGdZO1oXxO9XbPX2V7eoUM\nHwBesH1DWai1E7GIY7Ltp7vOUzLtAOxIXDtMsn1ZjRwppZRGlhMfaZ5J+hXwddu3ltUe04hSEWsS\ntVAndphlXWKl/LHA1/oeWp5YofPerrK0StJbiBWkexJ/L/9uu0q5q7Ja6JvExSGU0lu2n6+Rp0WS\nPkysWtq5Yoa1iFVL6xPlMwCw/e4KWZrpZdFYlrcAnwJusH1VWX38IdtnVsgy1MTz9BwoaEMZyPnY\n4O+ppHcQKyY723En6c3ABcRq8Gnl9KbAksCutv/QVZaBXPcAuxErWateELew+yTNnaTViYHjrYlB\n/quJHR/D9vdZgFkuJnaKVhn068txL7Blb9C4cpb+ncWvfZ+CpKlEv6VzicbM+wBr1Viw0NIkjKQZ\n/QtIFP1ZpldaVCLg08C7bB8p6e3AararlN+S9GXg88wqIz2BuO/vbGeDopH4zsQChcuIxuq/Icpv\nTbLdaX85SWPL827f5fOmlFJ6fXLiI80zSbf1JhQkHQqsa3ufUu7kmo4HUf4K2JWoz31h30MziR0O\n1Rp5t0bS+4heAHvaXqJShqZKb9VUVv+dBLyVGAg8GjiDqFH7HdvnVMx2NfAt4PtEj499ic+Jb1XI\ncguwEbAhUbP7VGA32533smgpy0CuVYDHux6wLav09wfWBu7qe2g5YGqt1ftpdpJ2JRYHHEX0sTBR\ncuXrwD/YvqBCpm2JRQsAt9m+susMA3l+DWxnu3pvmhZ2n6S5k3QZ0Tut10tib+DTtnfoMMMJxOv5\nbcRn0xXMXmKq034bikbiu7ewmGVgx0eVMpADeZoZ3C95ptrerL/crKRrbW9VIwvtTMJ8j7jG6/Xu\n2ZNoTN95k3FJJxGl67a1vZ6klYha/OO7zlLy3EJMbD5TjpchSuJ2ed8/g9gZuSTwCLC67ackjQOu\n7zJLX6YLgc/YzobQKaXUuGxunuZH/0rE7YAfAdieKanTQQPbvwB+IWlL29d1+dwLA0nrERftnyTq\nLv878PcVIx1fdgk1UXqrsolEqa/riNVLvwO+bfv4qqnCONtXSFKpV364pKuIyZCuvWzbZZLzB45e\nFn9TIUcTWcrgyTHAE8Tg6FnAKsAYSfvYvqTDOOcQA21HE4PoPTNbWPGbgu0LJP038d5/ADGQfiuw\nR40yFSXTlUDVyY4BhwAXlRJy/QPHNd6PJ9LI7pM0olVtn9Z3fLqkgzrOMLX890ZmX/xTy4vATaWf\nRf/r6CsVsmwk6Sni/W5c+R7qTSSeyBCD+x1n6PdsKbM6XdKxwMNEP4kqbN8jaaztV4DTJFVZuGb7\na5J2Az5A/K6cYvv8GlmAzR293G4q2Z4s/2a1CHil7/iVcq5LL5ffkWcVfcGeArD9XNdjEH2eB2aU\nyfD+/j2dTjynlFKau5z4SPPjfkkHAA8QpV4uASirLRavmOl8Gig50JjTiSaTXyBK4lRdhWf7w32l\nt06RVLX0Vm22Ly/f/qzceH6/Zp4+z5ft/XdL+hLwIPDmSllmSvoGsZp2m7KtvNb7TAtZTgQOJRqI\nXwnsbHtKKft3NuX9uAul58CTwO6SNiAGCgCuAnLioyG2p0s63PZ/1c7SqO8ATxOl/WoOLAHcD9ya\nkx7Ne6yUPOytDN+LWGDSGdtnwGsrr58vA4K98itLdpmluKh8VWd7bO0Mg1oZ3C8+A4wBvggcDKxO\n9N6roalJGOAaYpGfiUVJtbxUXsuG1/qN1NyVeBpwfbnfhqi4cGrHGV6UtLTtZ4kymQBIWoF6fzf/\nUb5SSik1LktdpXlWanQfQTTN/qHtS8v5DwOb2j6uQqbqJQdaImkxoqzJ54D7iBU5qxMXrd9soX54\nC6W3apL0X0D/6tCJ/ce2q63elDQeuANYkdhVsAJwrO0pFbK01MuiehZJN9t+f/n+Dtvr9T1WpY65\npC8Sgye9kkl/RXw2/J+us6ThSZpMlMS5AZhMNCadUTdVG3plX2rngNfef48EWth9koZR3v9PBLYk\nBiavJRbc/L5ClinA9r0eH5KWJUridF62aJCkzW1fXztHbeX9d3tioPjh8vVZd9wLq+xYXd32D8vx\n9cTCFhP95X7WZZ6S4R3AH4hJ54OJfoQn2b6nQpY9gO8RfSNENPL+WqW/l08Tu/Y3JRayfRL4R9vn\ndp2lL9MmzNoNM7nr8sWSlrT9whDnVyH6n3R+TTPcxHOZnEkppdSQnPhICzUN0Ui3f4BwtJH0faLO\n/sG2Z5ZzywPHAc/Z/nKlXEOV3vrZaCyLI+msER627X06C7OQqNXLoqUsI9Utr1XHvNR93mpg0O3a\nGrWW08jKqtrxwIeA/YBlba9cNVQDJB0DXNlbyFE5y6XE7pMZ9K1gtf3taqHSbMrA1oG2m9ilOdT1\nbpfXwGWH6CeIidVJtu+QtBOxO3ElV2gM3ZpWBvclXQP8te37y/HNwLbAssBptrfrMEuLkzDTgR16\n9yVll8XlXU9Q9eVZlygrDfEZdUeFDCNeI9h+oqssLWp54jmllNLsstRVmmelidewbH+8qyx9/li7\n5EBjdgHW7h+UdTR/+wJwJ1Bl4oPGSm/VZPszZfBkV9vn1c4Dbb22W+pl0VIWRq5bvlSHOfqJ2Xs/\nvUT3dZ/TXEj6ALF69S+J3Vy/IsqSpdixdIikF5j1+1ujDwDAyrZ3rPC8aR7ZfqUM2jYx8QE8I2kT\n29MAJG0KPNfh8/9f4N3EbrKTJN1NTK5+o8bgdUuGGNz/LbMG968Dut7VsERv0qO4ugxcP1FWrnfp\nEKLvSc+SxO6GZYkd6jV+d8YMLMZ6nCgJVsvSQK/c1bhKGW4sz9+7ruvdW6p8/+4aoRqyVG/SA8D2\n05KWrhkopZTS0HLiI82PLYka1GcD19PGANfniJID32dWyYF9qyaqy0OtRC83652vlu8rvbUmMIFo\n3Lq6pGZKb9VQ/j0OApqY+KCt13YzvSxaytJS3XJJi9l+mZgImiKp93s8ATijXrI0jN8SzZCPBi6y\n/WLlPM2wvVztDH0ul7RjC7tP0oiukXQisXO1v6HttApZDgLOlfRQOV6N2QeUF7TNgQ3LNc044DHg\nPbYf7jBDq1ob3F+p/8D2l/oOV+04S0uTMD2XSJrErIV0e1Kpb42kw4DdiXsEEX1hzu26L6Ltd3X5\nfAuhwYnnzeh24jmllNI8ylJXaZ6VVeo7ELsqNiQaep1t+7aqwQZIOsj2xNo5apB0AfDzwd4DZVfM\nHl3vymm19FYLJP0jUdZkcPDkqWF/aMFlaea13VIvi5aytGSg7NZ4YidBr+7zDVXDpTlIWhHYGtiG\nKHf1KnCd7X+qGqwBkrYGbrb9TPmc3ASYaPu+CllmEo19W9h9koYh6ddDnLbtbStkWZJ4Pa9D/L7c\nSaxcn6MW/gJ6/ibKLrZI0g22x/cdn9ibbJA0xfYWHef5N+A3tn80cH4/omfZXh1mucf2e4Z57F7b\na3aY5SCiqfnNwMeYvY/F+SP97ALMdAewcW93fJlUnNZ/DdpxnglEua0/l+MVid+ZC0b+yUVbuf79\nKfAQsfjyrUT/yhurBksppTSHnPhIr0u52dqLaAR3hO0TKkd6jaT7bK9RO0cNkt4G/JxYcdLbojye\n2CY9wfaDHee5m4HSW+X8WOBO22t1maclku4f4rRr/+7Wfm231MuipSwtGc2TPgur0mfpg8Qk1VbA\nfbY/WDdVfaVPzUbEhO9ZRAPi3fLvJi0Mhvoc6vKzSdKzxGQLxGDxOuW4N2k3Kj8joa3B/fKcbwYu\nICZWe7uTNiV2ouxq+w8dZmlpEuY44jNxXeAWonLANcTigCo9LCRdDOxl+0/leEXgx7Z3qZRnqF5C\no/Y6sEx43G/7EUmLE33TdgNuBw4b7b1PUkqpRTnxkeZLGRT9KDEw+k7gQuBfux5QH4mk+22/vXaO\nmiRtC7yXuPm8zfYVlXL8p+215/ex1L1WXtuSXiF2wIiYsHu29xBRT3fx0ZilJZIeAI4f7nHbwz6W\nuifpXuAu4Gqit8f1We4q9AaJS2mRB22fWmtSs6XdJ2lOkr4y0uNdvu9JegvRUPzHwKeYVZ5yeeBf\nbK/bUY4RB+9t39tFjha1NLg/8Py9+wOI+4MrK2RoZhKmL9MSwGbEJMiW5etPttevkOUCYtHaZeXU\n9sTn96MAtg/sOM8ttjccODfD9vu6zNEKSdOIpuZPSNqG2PVxAPB+YD3bn6waMKWU0hyyx0eaZ5LO\nADYALga+bfvWypGGM+pn88qNTOc3M0O4vTSBHqr01p3D/MyoUXpFrE9fc2rbP6mQo5nXdku9LFrK\n0pixRJ3yFvo8pblby/artUM0aqakbwB7A9uU3Yi1JjRPAjaStBHRH+BUYhdK7j5pQ68fzDrEoOSF\n5fhjwOSOs/wv4LPA6sw+CT2T6EvVid7EhqSjbM/2vJKO6jJLgw4GLpD0KYYY3K8VqoX7A0cT8a0G\nJmH+o8YkTJ9xxMThCuXrIWBGpSyTgCuIMnavAEOV1+vSVEnHAz8k7rEPIKoKjFZj+3Z17AmcYvs8\n4DxJN1fMlVJKaRi54yPNM0mvMqsXQf8vTud1qEst7KF+eQWMs52Teg1orfRWS0qPjx2J7fWTiIGM\nq23vViFLM6/t1L7RXOZrYSRpdeAEos+HiZWjX7b9QNVgDSgr5z8F3GD7KklrEKuxz5zLjy6ILM3s\nPknDk3Qp8AnP6lu2HHCu7Z0qZPlEGXCrapiSW9Ntb1QrUyta2GGRhifpFOLfZyZwPTAFmGL7yQpZ\nFgOOAj4H/B4YA7wdOA041PZLXWcquZYB/onYeSLgUuCfbT8z4g8uoiTdCrzf9suS7gT+1vbk3mO2\nN6ibMKWU0qAcHE7zzPaY2hl6bC839z+VaisTG5sPlN66uFbprcbsSWyLnmb7M5JWA06uEaSl13Za\nKOROj4XLacBPgN3L8d7l3A7VEjXC9iOUFfOSViHqdnc+6VG0tPskDW8NoL9U3ItEecjOSNrb9o+B\ndw5VgqurslulbNP+wNql/EvPcsDULjK0roUdFmlEaxC7cO4GHgQeAP5UKcv3iNfOu/omVpcHjiuP\nHVQjVJng+HqN527U2cBvJT1GLOy7CkDSe4A/1wyWUkppaLnjI6WUKpD0O9t/IelG4EPA08CMXCmU\nWidp5WzeuPAYpjHpHOdGE0lbAMcATwBHEiWlViFW2O5j+5IKmZrZfZKGJ+mbwB7A+cQOqgnAObaP\n6jDDfrZPlvStIR627SM6yrES8CbgaGYfGJ1Zyhml1DxJIhZnbVW+NiA+G66zPdRrbEHluBtY2wOD\nM2US/E7ba3WVZeD51wa+SkzwvrZo1va2NfK0oFxDrAZc2tv5Uv6elrU9bcQfTiml1Lmc+EgppQok\nnQz8A/Bp4EDgKeAO2/tUDZZSWqRIuhw4nVilCLAXsK/t7aqFqkzSVKL/wArAKcDOtqeUvktn2964\ncr5VgMcHB8BSGyRtAvxlOZxs+6aOn3/14UrVSfqY7V92mac87wbAB8rhVbZv6zpDSv8TpSzk1sTk\nxy7Am2yv2OHz/6fttef3sQVN0nTgX4iSxa/0ztsezX0+UkopLUSyvElKKVVgez/bf7L9Q+CjwH45\n6ZFSWgA+R6xQfwR4GPgksG/VRPUtZvtS2+cCj9ieAmD7zq6DSNpC0m8k/VzSxqV++K3AHyR13jci\nzZOlgads/wB4QNK7On7+KyS9c/CkpH2BiR1nQdIXgXOIskFrAOdI+ruuc6Q0vyQdKOmnku4HJhMT\nHncBuwErdxzndklz3AdI2hvo/LOpz8u2T7L9O9s39r4q5kkppZTmS+74SCmlSiT9NbCm7e9Iejvw\n5ryZSCktaJIOst35AGkr+psxDzZm7rqheOu7T9LsSnmpzYB1bK8t6a1Ec/OtO8zwEeAHwEds313O\nfYMolbbzcLtBFmCeW4CtbD9djpcFrrW9YZc5Uppfko4HrgWusf1w5SxvA35O9I24kSilNx4YB0wo\nfRNr5DoceJQo7/dC73yWPE0ppbSwyImPlFKqQNKJROPabWyvJ2llYJLt8ZWjpZQWcZLus71G7Ry1\nSHoFeAYQMaj0bO8hYCnbnTUV7++3IukO2+v1PXZTTny0RdLNwMbAtN6/jaRbuh7kl7QdcDKwK/C/\niQHSXWw/2WWOkmUGsJntF8rxksBU2+/rOktKCztJ2xI9RwTcZvuKynn+e4jTtv3uzsOklFJKr8Ni\nc/8jKaWUFoCtbG8i6SaIlVOSlqgdKqU0Kqh2gJpsj62doc+rfd8/N/BYrk5qz4u2LckAkpapEcL2\nFZI+C/yGWLG+ne3nu8wgaTHbLwNnAVMknVcemgCc0WWWlBYVtq8Erqydo8d216X8UkoppTdU9vhI\nKaU6XpI0hjKwJelNzD4AllJKC0oOqLdjI0lPSZoJbFi+7x3nivn2nCPpZGBFSZ8HLgd+1GUASTMl\nPQVcDCwPbAc82ne+K78DsH0s8LfEzqnngP1tH9dhjpTSG0zSIX3f7z7w2FHdJ0oppZRenyx1lVJK\nFZQGhhOIWuH/SjQf/rbtn1YNllJaJJSB86Eu8gSMs527flN6HSTtAOxIvJYm2b6scqQqshRbSouu\nlnphpZRSSv8TedObUkodknQR8He2z5R0I7A9MXiyu+1b66ZLKS0qbC9XO0NKi6Iy0XGZpFWAx2vn\nqWhVSV8Z7kHbx3cZJqX0htIw3w91nFJKKTUrJz5SSqlbpwOXSjoDONb2bZXzpJRSSmkEkrYAjgGe\nAI4k+lqsAoyRtI/tS2rmq2QssCw5CJrSosjDfD/UcUoppdSsLHWVUkodK81QDwN2IgZPXuvtkSsk\nU0oppbZImgocCqwAnALsbHuKpHWBs0djyacsd5PSokvSK8AzlPKYRA8fyvFSthevlS2llFKaH7nj\nI6WUuvcScTOxJLAc2dQ8pZRSatliti8FkHSE7SkAtu+URu2Gh1H7P57Sos722NoZUkoppTdCTnyk\nlFKHJO0EHA9cCGxi+9m5/EhKKaWU6upfoPDcwGOjdfv8drUDpJRSSimlNJIsdZVSSh2SdBWwf/b2\nSCmllBYOWfYlpZRSSimlhU9OfKSUUkoppZRSSimllFJKaZExpnaAlFJKKaWUUkoppZRSSimlN0pO\nfKSUUkoppZRSSimllFJKaZGREx8ppZRSSimllFJKKaWUUlpk5MRHSimllFJKKaWUUkoppZQWGTnx\nkVJKKaWUUkoppZRSSimlRUZOfKSUUkoppZRSSiml5yDFYAAAAAxJREFUlFJKaZHx/wELeI+X2/ug\n6wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1ffefe0d390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# encoding=utf-8\n",
    "corr = numerical_feature.corr().abs()  # 通常认为相关系数的绝对值大于0.5的为强相关\n",
    "plt.subplots(figsize=(30, 20))\n",
    "sns.heatmap(corr, annot=True)\n",
    "sns.heatmap(corr, mask=corr<1, cbar=False)\n",
    "plt.savefig('housing_corr.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 从图中可以看到，与SalePrice最相关的变量从高到低依次是OverallQual、GrLivArea、GarageCars、GarageArea等。而其中GarageCars和GarageArea的相关系数达到0.88(一般超过0.5就算强相关)，呈高度线性相关态势，所以这两列特征我们可以只取一个，YearBuilt和GarageYrBit同理。下面看看与SalePrice相关系数top10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-13-f342d371008e>, line 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-13-f342d371008e>\"\u001b[1;36m, line \u001b[1;32m1\u001b[0m\n\u001b[1;33m    print corr['SalePrice'].sort_values(ascending=False)[:10], '\\n'\u001b[0m\n\u001b[1;37m             ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "print corr['SalePrice'].sort_values(ascending=False)[:10], '\\n'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "离群点检测\n",
    "--\n",
    "先看下跟SalePrice相关性比较高的几个变量的类型以及取值，看散点图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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FwjrE4vOau1iYWZU42eynlesHuXPd4Bu/3PdGcOe6wVIKDPa8+3B+5rCDEPAz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fff1a62cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x=train.OverallQual, y=train.SalePrice)\n",
    "plt.xlabel('overall quality')\n",
    "plt.ylabel('sale price')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fff1992c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# coding=utf-8\n",
    "# 也可以建立一个数据透视表来进行分析，官方文档： http://pandas.pydata.org/pandas-docs/stable/reshaping.html\n",
    "quality_pivot = train.pivot_table(index=train.OverallQual, values='SalePrice', aggfunc=np.mean)\n",
    "# 其中aggfunc后面跟函数列表或者函数，默认为 numpy.mean\n",
    "quality_pivot.plot(kind='bar', color='blue')\n",
    "plt.xticks(rotation=0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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iU2u3ZiYMDIbyrOCdVp7WhJmsRYlMNKrZyChr+wc6plmsXqZO6UodmBmLM8uy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\nIrlTsBERkdz9f1PL+gOT4iJxAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fff1a52e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x=train.GrLivArea, y=train.SalePrice)\n",
    "plt.xlabel('ground live area')\n",
    "plt.ylabel('sale price')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 图中可以看到横坐标大于4000的点为离群点，所以我们剔除GrLivArea大于4000的点。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train = train[train.GrLivArea < 4000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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g63hJLw0j1zRaVTI6pvR+YE6ZmilMxRSk1iJrvjqrWhxJFhw6PMoX+ndWjSuK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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fff1a52630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# coding=utf-8\n",
    "plt.scatter(x=train.GrLivArea, y=train.SalePrice)\n",
    "plt.xlabel('ground live area')\n",
    "plt.ylabel('sale price')\n",
    "plt.show()  # 查看剔除离群点后的图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7vD50iIvmT6dYSKcjDB2qv9mskVR2HH142VmxGohfrbrSrJTWnNU3r8xlC7LX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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fff05bc908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# coding=utf-8\n",
    "# 下面看看GarageArea的散点图\n",
    "plt.scatter(x=train.GarageArea, y=train.SalePrice)\n",
    "plt.xlabel('GarageArea')\n",
    "plt.ylabel('sale price')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# coding=utf-8\n",
    "# 剔除掉GarageArea大于1200的离群点\n",
    "train = train[train.GarageArea < 1200]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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V6/v4IeDL5f6vanGsfGZTuXOAbRHxeEQ8D3wFWDqhzFJgTXp9G3C+JFGsStpV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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fff05dac18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x=train.GarageCars, y=train.SalePrice)\n",
    "plt.xlabel('GarageCars')\n",
    "plt.ylabel('sale price')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# coding=utf8\n",
    "# 这里只有5个点的取值为4，所以跟前面的数据比较没有规律可循，所以将它们认为是离群点而去之\n",
    "train = train[train.GarageCars <4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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g85La0vIHnwPOAo4H3pHKMkkdZmZWB5Ukm8MjYh3wNEBEPAWMTbVTZH6bNtvTK4DTgetT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\n9/8B/S8vpvBcexAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fff061fcc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x=train.GarageCars, y=train.SalePrice)\n",
    "plt.xlabel('GarageCars')\n",
    "plt.ylabel('sale price')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 接下来处理缺失值\n",
    "这里将缺失值超过15%的的数据全部做剔除处理，同时id没什么用也剔除，GarageArea与GarageCars高度线性相关，只保留其中一个，选择与SalePrice相关系数高一点的GarageCars保留，去掉GarageArea；另外，前面还得出YearBuilt和GarageYrBlt也高度相关，鉴于这两个特征所表达的意思都是修建日期加之GarageYrBlt有缺失值，所以我们相信他们是高度相关的，这里保留YearBuilt。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# coding=utf-8 \n",
    "train.dropna(axis=1, thresh=1300, inplace=True)  # 舍弃掉样本数中非缺失值小于1300个的特征，因为缺失值太多不便于填充\n",
    "train.drop(['GarageArea', 'Id', 'GarageYrBlt'],axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1448, 72)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Null Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GarageQual</th>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageType</th>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageFinish</th>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageCond</th>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtExposure</th>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinType2</th>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinType1</th>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtCond</th>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtQual</th>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MasVnrArea</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Null Count\n",
       "GarageQual            81\n",
       "GarageType            81\n",
       "GarageFinish          81\n",
       "GarageCond            81\n",
       "BsmtExposure          38\n",
       "BsmtFinType2          38\n",
       "BsmtFinType1          37\n",
       "BsmtCond              37\n",
       "BsmtQual              37\n",
       "MasVnrArea             8"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nulls = pd.DataFrame(train.isnull().sum().sort_values(ascending=False)[:10], columns=['Null Count'])\n",
    "nulls"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "#### 其余的缺失值暂时不处理，先对非数值特征进行编码，采用独热编码法（one-hot encoding，可以将分类数据（categorical data）转化为数值。通过这种转化，模型可以理解特定观测属于哪一类别）\n",
    "在转换特征时，需要记住在训练模型前对训练数据进行的变换，并对测试数据进行同样的变换。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MSZoning</th>\n",
       "      <th>Street</th>\n",
       "      <th>LotShape</th>\n",
       "      <th>LandContour</th>\n",
       "      <th>Utilities</th>\n",
       "      <th>LotConfig</th>\n",
       "      <th>LandSlope</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Condition1</th>\n",
       "      <th>Condition2</th>\n",
       "      <th>...</th>\n",
       "      <th>Electrical</th>\n",
       "      <th>KitchenQual</th>\n",
       "      <th>Functional</th>\n",
       "      <th>GarageType</th>\n",
       "      <th>GarageFinish</th>\n",
       "      <th>GarageQual</th>\n",
       "      <th>GarageCond</th>\n",
       "      <th>PavedDrive</th>\n",
       "      <th>SaleType</th>\n",
       "      <th>SaleCondition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1448</td>\n",
       "      <td>1448</td>\n",
       "      <td>1448</td>\n",
       "      <td>1448</td>\n",
       "      <td>1448</td>\n",
       "      <td>1448</td>\n",
       "      <td>1448</td>\n",
       "      <td>1448</td>\n",
       "      <td>1448</td>\n",
       "      <td>1448</td>\n",
       "      <td>...</td>\n",
       "      <td>1447</td>\n",
       "      <td>1448</td>\n",
       "      <td>1448</td>\n",
       "      <td>1367</td>\n",
       "      <td>1367</td>\n",
       "      <td>1367</td>\n",
       "      <td>1367</td>\n",
       "      <td>1448</td>\n",
       "      <td>1448</td>\n",
       "      <td>1448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>25</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>RL</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>NAmes</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>...</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>TA</td>\n",
       "      <td>Typ</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>Unf</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>1142</td>\n",
       "      <td>1443</td>\n",
       "      <td>918</td>\n",
       "      <td>1303</td>\n",
       "      <td>1447</td>\n",
       "      <td>1044</td>\n",
       "      <td>1371</td>\n",
       "      <td>223</td>\n",
       "      <td>1252</td>\n",
       "      <td>1435</td>\n",
       "      <td>...</td>\n",
       "      <td>1322</td>\n",
       "      <td>730</td>\n",
       "      <td>1348</td>\n",
       "      <td>864</td>\n",
       "      <td>602</td>\n",
       "      <td>1299</td>\n",
       "      <td>1314</td>\n",
       "      <td>1329</td>\n",
       "      <td>1260</td>\n",
       "      <td>1192</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       MSZoning Street LotShape LandContour Utilities LotConfig LandSlope  \\\n",
       "count      1448   1448     1448        1448      1448      1448      1448   \n",
       "unique        5      2        4           4         2         5         3   \n",
       "top          RL   Pave      Reg         Lvl    AllPub    Inside       Gtl   \n",
       "freq       1142   1443      918        1303      1447      1044      1371   \n",
       "\n",
       "       Neighborhood Condition1 Condition2      ...      Electrical  \\\n",
       "count          1448       1448       1448      ...            1447   \n",
       "unique           25          9          7      ...               5   \n",
       "top           NAmes       Norm       Norm      ...           SBrkr   \n",
       "freq            223       1252       1435      ...            1322   \n",
       "\n",
       "       KitchenQual Functional GarageType GarageFinish GarageQual GarageCond  \\\n",
       "count         1448       1448       1367         1367       1367       1367   \n",
       "unique           4          7          6            3          5          5   \n",
       "top             TA        Typ     Attchd          Unf         TA         TA   \n",
       "freq           730       1348        864          602       1299       1314   \n",
       "\n",
       "       PavedDrive SaleType SaleCondition  \n",
       "count        1448     1448          1448  \n",
       "unique          3        9             6  \n",
       "top             Y       WD        Normal  \n",
       "freq         1329     1260          1192  \n",
       "\n",
       "[4 rows x 38 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "object_feature = train.select_dtypes(include=['object'])\n",
    "object_feature.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MSSubClass</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>OverallQual</th>\n",
       "      <th>OverallCond</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>YearRemodAdd</th>\n",
       "      <th>MasVnrArea</th>\n",
       "      <th>BsmtFinSF1</th>\n",
       "      <th>BsmtFinSF2</th>\n",
       "      <th>BsmtUnfSF</th>\n",
       "      <th>...</th>\n",
       "      <th>WoodDeckSF</th>\n",
       "      <th>OpenPorchSF</th>\n",
       "      <th>EnclosedPorch</th>\n",
       "      <th>3SsnPorch</th>\n",
       "      <th>ScreenPorch</th>\n",
       "      <th>PoolArea</th>\n",
       "      <th>MiscVal</th>\n",
       "      <th>MoSold</th>\n",
       "      <th>YrSold</th>\n",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1448.000000</td>\n",
       "      <td>1448.000000</td>\n",
       "      <td>1448.000000</td>\n",
       "      <td>1448.000000</td>\n",
       "      <td>1448.000000</td>\n",
       "      <td>1448.000000</td>\n",
       "      <td>1440.000000</td>\n",
       "      <td>1448.000000</td>\n",
       "      <td>1448.000000</td>\n",
       "      <td>1448.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1448.000000</td>\n",
       "      <td>1448.000000</td>\n",
       "      <td>1448.000000</td>\n",
       "      <td>1448.000000</td>\n",
       "      <td>1448.000000</td>\n",
       "      <td>1448.000000</td>\n",
       "      <td>1448.000000</td>\n",
       "      <td>1448.000000</td>\n",
       "      <td>1448.000000</td>\n",
       "      <td>1448.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>56.837017</td>\n",
       "      <td>10425.941298</td>\n",
       "      <td>6.089088</td>\n",
       "      <td>5.579420</td>\n",
       "      <td>1971.214088</td>\n",
       "      <td>1984.816298</td>\n",
       "      <td>101.377778</td>\n",
       "      <td>436.225829</td>\n",
       "      <td>46.935083</td>\n",
       "      <td>565.738260</td>\n",
       "      <td>...</td>\n",
       "      <td>93.794199</td>\n",
       "      <td>46.369475</td>\n",
       "      <td>21.869475</td>\n",
       "      <td>3.437845</td>\n",
       "      <td>15.185773</td>\n",
       "      <td>2.066989</td>\n",
       "      <td>43.462707</td>\n",
       "      <td>6.323204</td>\n",
       "      <td>2007.815608</td>\n",
       "      <td>179984.546961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>42.272306</td>\n",
       "      <td>9867.500151</td>\n",
       "      <td>1.363334</td>\n",
       "      <td>1.114355</td>\n",
       "      <td>30.135832</td>\n",
       "      <td>20.652740</td>\n",
       "      <td>176.525619</td>\n",
       "      <td>428.640156</td>\n",
       "      <td>161.930868</td>\n",
       "      <td>440.774972</td>\n",
       "      <td>...</td>\n",
       "      <td>125.042535</td>\n",
       "      <td>65.462563</td>\n",
       "      <td>60.590998</td>\n",
       "      <td>29.436993</td>\n",
       "      <td>55.971195</td>\n",
       "      <td>35.481119</td>\n",
       "      <td>497.976440</td>\n",
       "      <td>2.700270</td>\n",
       "      <td>1.331602</td>\n",
       "      <td>76597.487886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>20.000000</td>\n",
       "      <td>1300.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1872.000000</td>\n",
       "      <td>1950.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2006.000000</td>\n",
       "      <td>34900.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>20.000000</td>\n",
       "      <td>7526.250000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1954.000000</td>\n",
       "      <td>1966.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>222.500000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2007.000000</td>\n",
       "      <td>129900.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>50.000000</td>\n",
       "      <td>9452.500000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1972.500000</td>\n",
       "      <td>1993.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>381.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>475.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2008.000000</td>\n",
       "      <td>162900.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>70.000000</td>\n",
       "      <td>11503.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>2004.000000</td>\n",
       "      <td>163.250000</td>\n",
       "      <td>706.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>806.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>168.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>2009.000000</td>\n",
       "      <td>213625.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>190.000000</td>\n",
       "      <td>215245.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>2010.000000</td>\n",
       "      <td>2010.000000</td>\n",
       "      <td>1600.000000</td>\n",
       "      <td>2188.000000</td>\n",
       "      <td>1474.000000</td>\n",
       "      <td>2336.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>857.000000</td>\n",
       "      <td>547.000000</td>\n",
       "      <td>552.000000</td>\n",
       "      <td>508.000000</td>\n",
       "      <td>480.000000</td>\n",
       "      <td>738.000000</td>\n",
       "      <td>15500.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>2010.000000</td>\n",
       "      <td>625000.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        MSSubClass        LotArea  OverallQual  OverallCond    YearBuilt  \\\n",
       "count  1448.000000    1448.000000  1448.000000  1448.000000  1448.000000   \n",
       "mean     56.837017   10425.941298     6.089088     5.579420  1971.214088   \n",
       "std      42.272306    9867.500151     1.363334     1.114355    30.135832   \n",
       "min      20.000000    1300.000000     1.000000     1.000000  1872.000000   \n",
       "25%      20.000000    7526.250000     5.000000     5.000000  1954.000000   \n",
       "50%      50.000000    9452.500000     6.000000     5.000000  1972.500000   \n",
       "75%      70.000000   11503.000000     7.000000     6.000000  2000.000000   \n",
       "max     190.000000  215245.000000    10.000000     9.000000  2010.000000   \n",
       "\n",
       "       YearRemodAdd   MasVnrArea   BsmtFinSF1   BsmtFinSF2    BsmtUnfSF  \\\n",
       "count   1448.000000  1440.000000  1448.000000  1448.000000  1448.000000   \n",
       "mean    1984.816298   101.377778   436.225829    46.935083   565.738260   \n",
       "std       20.652740   176.525619   428.640156   161.930868   440.774972   \n",
       "min     1950.000000     0.000000     0.000000     0.000000     0.000000   \n",
       "25%     1966.000000     0.000000     0.000000     0.000000   222.500000   \n",
       "50%     1993.500000     0.000000   381.000000     0.000000   475.000000   \n",
       "75%     2004.000000   163.250000   706.000000     0.000000   806.000000   \n",
       "max     2010.000000  1600.000000  2188.000000  1474.000000  2336.000000   \n",
       "\n",
       "           ...         WoodDeckSF  OpenPorchSF  EnclosedPorch    3SsnPorch  \\\n",
       "count      ...        1448.000000  1448.000000    1448.000000  1448.000000   \n",
       "mean       ...          93.794199    46.369475      21.869475     3.437845   \n",
       "std        ...         125.042535    65.462563      60.590998    29.436993   \n",
       "min        ...           0.000000     0.000000       0.000000     0.000000   \n",
       "25%        ...           0.000000     0.000000       0.000000     0.000000   \n",
       "50%        ...           0.000000    25.000000       0.000000     0.000000   \n",
       "75%        ...         168.000000    68.000000       0.000000     0.000000   \n",
       "max        ...         857.000000   547.000000     552.000000   508.000000   \n",
       "\n",
       "       ScreenPorch     PoolArea       MiscVal       MoSold       YrSold  \\\n",
       "count  1448.000000  1448.000000   1448.000000  1448.000000  1448.000000   \n",
       "mean     15.185773     2.066989     43.462707     6.323204  2007.815608   \n",
       "std      55.971195    35.481119    497.976440     2.700270     1.331602   \n",
       "min       0.000000     0.000000      0.000000     1.000000  2006.000000   \n",
       "25%       0.000000     0.000000      0.000000     5.000000  2007.000000   \n",
       "50%       0.000000     0.000000      0.000000     6.000000  2008.000000   \n",
       "75%       0.000000     0.000000      0.000000     8.000000  2009.000000   \n",
       "max     480.000000   738.000000  15500.000000    12.000000  2010.000000   \n",
       "\n",
       "           SalePrice  \n",
       "count    1448.000000  \n",
       "mean   179984.546961  \n",
       "std     76597.487886  \n",
       "min     34900.000000  \n",
       "25%    129900.000000  \n",
       "50%    162900.000000  \n",
       "75%    213625.000000  \n",
       "max    625000.000000  \n",
       "\n",
       "[8 rows x 34 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numerical_feature = train.select_dtypes(include=[np.number])\n",
    "numerical_feature.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 看看numerical_feature中缺失值情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MasVnrArea      8\n",
       "SalePrice       0\n",
       "BsmtFinSF2      0\n",
       "GrLivArea       0\n",
       "LowQualFinSF    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numerical_feature.isnull().sum().sort_values(ascending=False)[:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以得出就MasVnrArea这个特征存在缺失值，就用均值填充，从上面的相关系数图也可以看到这个值跟SalePrice的相关性极低，也可以删除；这里采用DataFrame.interpolate()方法来简单填充。\n",
    "\n",
    "\n",
    "#### 接下来填充完毕之后，暂时不对object类型的特征做处理，仅仅使用numerical类型的特征来建立模型试试效果，为此，先使用一个data1的变量来保存numerical类型的所有数据；之后再使用独热编码法对object类型的特征做处理之后，存到新的变量里面，完善模型，看看模型的预测精度提升效果。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1 = train.select_dtypes(include=[np.number]).interpolate()\n",
    "sum(data1.isnull().sum())  # 确保没有缺失数据了"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "构建线性模型\n",
    "--\n",
    "分离建模的特征变量和目标变量。将特征变量分配给x，将目标变量分配给y，如上所述，这里使用两个数值来保存模型y变量，一个是原本的值，一个使用np.log()来改变模型的y变量。\n",
    "使用 data.drop([features], axis=1这个语句来告诉pandas想要排除的列。很明显SalePrice需要从中删除，作为y变量\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "y_log = np.log(data1.SalePrice)\n",
    "y = data1.SalePrice\n",
    "X = data1.drop(['SalePrice'], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 使用scikit-learn里的train_test_split()函数生成一份训练集和一份测试集\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=42, test_size=0.25)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 开始建模\n",
    "\n",
    "我们先创建一个线性回归模型。首先实例化模型\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn import linear_model\n",
    "lr = linear_model.LinearRegression()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "用X_train 和 y_train训练模型，用X_test和 y_test 衡量模型，lr.fit()方法会对指定的特征变量和目标变量进行线性回归训练。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "model = lr.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the value of default measurement of linearRegression on test is  0.830115300269\n",
      "the value of default measurement of linearRegression on test is  0.876874724412\n"
     ]
    }
   ],
   "source": [
    "print('the value of default measurement of linearRegression on test is ', model.score(X_test, y_test))\n",
    "print('the value of default measurement of linearRegression on test is ', model.score(X_train, y_train))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "R2 score：既考虑了预测值与真值之间的差异，也考虑了问题本身真值之间的差异，是sikit-learn里面线性回归模型中一个缺省的评价指标，调用score这个函数，显示出来的就是R2 score。\n",
    "接下来我们可以看看scikit learn中的回归评价指标，看看均方误差和平均绝对误差。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean_squared_error is: 1002613001.47\n",
      "mean_absolute_error is: 21283.9695694\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import *\n",
    "print('mean_squared_error is:', mean_squared_error(y_test, model.predict(X_test)))\n",
    "print('mean_absolute_error is:', mean_absolute_error(y_test, model.predict(X_test)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
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37O4foKuzg5sunjEkIHqPm5RpK9aOWlA9yFLdZhcH/r+PITqpW2BmS+u8tobi1W2aQ60c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\nPNUkyhAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fff01ba9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(4, 3))\n",
    "plt.scatter(model.predict(X_test), y_test)\n",
    "plt.axis('tight')\n",
    "plt.xlabel('Predicted price')\n",
    "plt.ylabel('True price')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 之前做的是直接使用y值作为我们的预测值，前面提到过这个y的倾斜度比较大，所以我们现在使用y_log来预测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y_log, random_state=42, test_size=0.25)\n",
    "\n",
    "lr2 = linear_model.LinearRegression()\n",
    "\n",
    "model2 = lr2.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the value of default measurement of linearRegression on test is  0.859410363858\n",
      "the value of default measurement of linearRegression on train is  0.912170414845\n",
      "the RMSE on train is: 0.116353975966\n",
      "the RMSE on test is: 0.150163382064\n"
     ]
    }
   ],
   "source": [
    "print('the value of default measurement of linearRegression on test is ', model2.score(X_test, y_test))\n",
    "print('the value of default measurement of linearRegression on train is ', model2.score(X_train, y_train))\n",
    "print('the RMSE on train is:',np.sqrt(mean_squared_error(y_train, model2.predict(X_train))))\n",
    "print('the RMSE on test is:',np.sqrt(mean_squared_error(y_test, model2.predict(X_test))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以看到，对目标变量进行对数变换之后得到的预测结果要比没进行对数变换后的结果好，下面打印一下散点图\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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jlv6BwTE1n/KobCB+pcoRVVM2TUgchfO/gGdE5AYRuR54mrF2mYrwVd68MKTy5jZghm//\nMGB7tf01C+ViaPLCLefNLVvFIQ5mDG5O4gT+fVdEHgX+vWv6gqr2VdOZr/Lmp8MqbwLPAkeJyBFA\nP3A+8Plq+msmGsH92xWQ4rOacZYAJx/dvKPVViauW3wy8Laq/gjY5pRBJK7y5q+B2SKyTUS+hOe1\nOgiv8uY6V1wPEZnu1muhqvuAr+IV4HsRWF6sa94M9PT1s2DJao5Y/AgLlqyOXeo177/4pQbepxaf\nwitLzhytpFAJCty/tr/lyuC2AnGMxtcD3cBsVf23rizvfaq6IA0BKyHva6mC1jIVKwpAtAem3Dqo\nrClGEJdSi9xdnR08tfiUeohnJEzd1lIBfwbMA34DXlle56lqSWqpahBWX7q0llNp8vLretZz79Ov\n59YQDLDsmdcD8x6HubP9bZbRr3WIo3D2qqqKiAKIyIEJy5Rb4sbAhBGVMzio7e41r/HKznfLZtjL\nA0Mjyg0PbQj8O4RVUSi2LViyuuJa3UZjEseGs1xEbgM6ReQS4FfAHcmKlU/CRihxFxBW+gVSaAhl\nU6TadBZWBrd1iFNb/IfA/wbux4s6/paq3pq0YHkkbIQSd+gf9MVqNqox9FZTq9toTMpOqUTk+6p6\nDd46qNK2liKsqkHckUupPQPiB8I1CqXlZOJixetagzhTqlMD2lqyakM9hv5Fl/HN581lQntYjYT0\nmTihbXR0cct5c3l1yZmhFRyiMEOvEUXUavEvA18BjhSR532HDgL+OWnB8kg9FxAuXbmprqVUamHi\nhDY23TT+NyRsRNfV2cHu9/cF2mzM0GtEETWlugd4FPge4M9J846qNo4ls87Ua+ifl5GAPw6olHIp\nISxdhFEpoQpHVd8C3hKRHwG7/KvFReREVX06LSGbiayz77UBH5pcYGBP+ZrccUZ0li7CqIQ4kcZ9\nwHHFhZYi0gb0qupxKchXEVlEGgfld3li487AL2EeooUPPKCdDd8um1nEMCqinpHG4l/VraojImK5\nkAkOBPx7X+7d0sDAPKz43r03n0sjjNYgjpdqi4h8TUQK7nUFXvXNlieOAvEHBubFblOk2oWkhlEt\ncRTOZcAf46WK2AaciMuw1+rEVSDF8/LgwZlc8P7l/uTqyv7RmCkdI0niRBrvUNXzVfUjqnqIqn5e\nVa22OPEViD8ReNYMDeuo3amWZRqGUQ1RcTjfUNUfiMhfExAQq6pfS1SyBiDIbVxKR6Gdk4+exoIl\nq9k+MBg7p2+tFNqEQruwZ2hkTPvQiI6JdC4lb9M+o7mIMv6+6N7zm2AmY4LcxqVeqmJVgiSNxSIw\noU3GBhIK45RNkaJstkLbSJuoOJwV7v3n1dxYRO7Ey128o1i1QUT+HLgB+EPgBFUNVGYi8irwDjAM\n7IvjbsuKcoGAC5asTtwzpcq4qOWhYaU9otaT1XkysiBqSrWC6GoJZ5W5912ML4T3AnA2cFsM2U5W\n1TdinJdbruvJtuLlsCodhfZApWJ1nowsiJpS/dC9nw38AVCsH3UB8Gq5G4cUwnsRQAIK0zcb1/Ws\nHxOTkwWltapKlYqt0DbSJmpK9X8BROQ7qvop36EVIlK28maNKLDKZRm8TVVvDzuxpBBewmLF596n\nX6/62o5CO+cc38Xda16r2sDsH8mYUjHyQpw4nGki8tHijqvYkHQNjwVu6cRngMtF5FNhJ+a1EF4t\n+Ye/d/Ycblo0h5vPmxuaIqKrsyO0IkK7iCWwMnJJnCUKVwH/KCLF6OJZwH9JTCK8RO3ufYeIPIhX\nbzzpUVVdCTPYlmPK5MKYKU/v1l3jRjrlVmyXKptaEr8bRj2JUwjvlyJyFHC0a9qoqu8nJZBL0t6m\nqu+47dOAbyfVXyVU8sW94MQZVdlwSnXUTYvm0H341KpXbNea+N0w6kmc1eKTga8Dh6vqJU75zFbV\nh8tcdy9wEnAw8C/A9cAu4K/xpmQDwDpVPd3VurpDVRe66duD7jYTgHtU9btxHibJ1eJRNaX8q8H9\nX/5ZH+6oOAm6AK8sObNucodVRLCaT0Y9qedq8Z8Ba4FPuv1twH1ApMJR1QtCDj1Y2uCmUAvd9hbg\n2BhypUrUUoBF87q4rmf9mKlP/8Agu3bv5cAD2itaoT29s6OuUyCLKDbyRByFc6SqniciFwCo6qC0\ngl/bUfzyh8XTbB8YpKevP9CjNDg0TGdHgUL7yJjAvDaBkYCBZRteTe16ToGyjCg225FRShwv1V4R\n6cAFAYrIkUBiNpw84V9RHcb0zg5uXLEh1H391uAQS889dkwJlA9OKgSe+6HJBZ7YuLOuiyqzqvlk\nq9GNIOKMcK4HfgnMEJG7gQXAf05SqLwQJ9/NwJ69kVOm6Z0d42Jhjlj8SMi9hhjYE1xMrn9gkAVL\nVlc8SsgqorjcFNRoTSIVjps6bcSLNp6PZ9O8otGXHMQljp0jStkIwSkpwqY5SrQ7vdrpVRbBf2Y7\nMoKInFK51KI9qvqvqvqIqj7cKsoGardzXDh/ZuAXPaoCZ7nYnUbJWRP2t7PV6K1NHBvOGhH5o8Ql\nySG1lOYVge7DpwYe85e2DaM9wi7fCKMEqxduBBFH4ZyMp3ReFpHnRWR9SWG8piWo5vWUycEG31JU\niTSSFitwhqmVEdVQhdQIowSrF24EEcdo3JJlfYuU2j+CAgAL7cK+ER0XJRzHSBrltm70nDW2cNQo\nJXSEIyKTRORK4GrgDKBfVbcWX6lJmDOCfrmXnntsaOagctOfqKmHjRKMZiNqhPNzYAj4J7xRzjHA\nFWkIlXeCfrnDggPLTX/Kua1tlGA0E1EK5xhVnQMgIj8FnklHpHwTFj1bbvoTFXVrSsVoFaIUzmgE\nmqrua6HVDKHEWXkdpFSCrrtq2Tp6t+7ipkVzsnkYw8iAKIVzrIi87bYF6HD7ghei88HEpcsZ5aJn\nw0YqQdcpcPea1+g+fKqNboyWIdRorKrtqvpB9zpIVSf4tltO2UD10bNhxxUaIojPMOpFnDgcw1Ft\n9GzU8UYI4jOMemEKpwKqjZ69+vTZoQF+jRDEZxj1whROBVQbF7NoXhcXzp85Tuk0UhCfYdSDsilG\nq75xbZU3zwB+BLTjpR5dEqfPJFOM1gNLSGU0K/VMMVotd1FF5U0RaQd+DJyKl870WRF5SFV/m5yo\n6WDxNkark9iUSlWfxEua7m97UVXLuWVOADar6hZV3Qv8AvhcQmIahpEiebThdAH+spXbXFsgInKp\niPSKSO/OnTsTF84wjOrJo8IJcuiEGpryWnnTMIzx5FHhbANm+PYPA7ZnJIthGHUkjwrnWeAoETlC\nRA4AzgceylgmwzDqQGJeKn/lTRHZxvjKm4+IyLjKm26h6FeBlXhu8TtVdUNScoZhLmzDqD+JxeFk\nQb3icOKU9TUMYz9x43DyOKXKnKhV4YZhVI8pnACsppJhJIMpnACsppJhJIMpnACsppJhJEOSa6ka\nlqzqcRtGs2MKJwRbaGkY9cemVIZhpIYpHMMwUsMUjmEYqWEKxzCM1DCFYxhGapiXKgFs4adhBGMK\np87EKQdsGK2KTanqjC38NIxwTOHUGVv4aRjhmMKpM7bw0zDCSUzhiMidIrJDRF7wtU0VkcdE5CX3\nPiXk2mERWedeDZVe1BZ+GkY4SY5w7gLOKGlbDDyuqkcBj7v9IAZVda57nZWgjHWn2nLAhtEKJOal\nUtUnRWRWSfPn8PIcA/wc+EfgmqRkKCVJd7W5wg2jPGnbcA5R1d8DuPePhJw3yRW3WyMii6JuGLcQ\nXtFd3T8wiLLfXd3T11/ts6Ryb8NoJvJqNJ7pEjJ/HrhFRI4MOzFuIbwk3dXmCjeMeKStcP5FRA4F\ncO87gk5S1e3ufQvetGterR0n6a42V7hhxCNthfMQcJHbvgj4h9ITRGSKiEx02wcDC4Df1tpxku5q\nc4UbRjySdIvfC/wamC0i20TkS8AS4FQReQk41e0jIt0icoe79A+BXhF5DngCWKKqNSucJN3V5go3\njHgk6aW6IOTQnwSc2wtc7Lb/GZhTb3mSzFNsOZANIx5WedMwjJqxypuGYeQOUziGYaSGKRzDMFLD\nFI5hGKnRVEZjEdkJ7AbeyFqWGjkYe4Y8YM8Qn8NVNTzU39FUCgdARHrjWMvzjD1DPrBnqD82pTIM\nIzVM4RiGkRrNqHBuz1qAOmDPkA/sGepM09lwDMPIL804wjEMI6eYwjEMIzWaRuGIyBkisklENotI\nWHL2pGWIXalCPG518j4vIsf5rrnInf+SiFzkaz9eRNa7a24VEYnqo8pnmCEiT4jIiyKyQUSuaLTn\nEJFJIvKMiDznnuFG136EiDzt7r9MRA5w7RPd/mZ3fJbvXte69k0icrqvPfDzFtZHlc/RLiJ9IvJw\nI8ofiKo2/AtoB14GPgocADwHHJOBHJ8CjgNe8LX9AFjsthcD33fbC4FHAQHmA0+79qnAFvc+xW1P\ncceeAT7prnkU+ExUH1U+w6HAcW77IOB3wDGN9Bzuvh9w2wXgaSfbcuB81/4T4Mtu+yvAT9z2+cAy\nt32M+yxNBI5wn7H2qM9bWB9VPsfXgXuAh6PunVf5A58p7S9lEi/34V3p278WuDYjWWYxVuFsAg51\n24cCm9z2bcAFpecBFwC3+dpvc22HAht97aPnhfVRp+f5B7xkaQ35HMBk4DfAiXgRtxNKPzPASuCT\nbnuCO09KP0fF88I+b+6awD6qkPswvFJKpwAPR907j/KHvZplStUFvO7b3+ba8kBYpYowmaPatwW0\nR/VRE25oPg9vhNBQz+GmI+vw8mY/hveLPqCq+wL6HZXVHX8L+HAVz/bhiD4q5RbgG8CI24+6dx7l\nD6RZFI4EtOXd3x8mc6XtiSAiHwDuB65U1bejTg1oy/w5VHVYVefijRROwEtdG9ZvvZ6hLs8mIp8F\ndqjqWn9zxL1zJX8UzaJwtgEzfPuHAdszkqWUsEoVYTJHtR8W0B7VR1WISAFP2dytqg806nMAqOoA\nXuWP+UCniBTT6vr7HZXVHf8QsKuKZ3sjoo9KWACcJSKvAr/Am1bd0kDyh1PP+VlWL7x56xY8w1jR\nCPaxjGSZxVgbzlLGGkJ/4LbPZKyx9RnXPhV4Bc/QOsVtT3XHnnXnFo2tC6P6qFJ+Af4OuKWkvWGe\nA5gGdLrtDuCfgM8C9zHWIPoVt305Y42uy932xxhrdN2CZ3AN/byF9VHD/+Mk9huNG07+cc+TxZcy\niReet+R3eHP1b2Ykw73A74EhvF+RL+HNix8HXnLvxS+dAD928q4Hun33+SKw2b2+4GvvBl5w1/wN\n+yPFA/uo8hn+Hd4w+nlgnXstbKTnAD4B9LlneAH4lmv/KJ6HbLP7Yk107ZPc/mZ3/KO+e33TybkJ\n502L+ryF9VHD/+Mk9iuchpO/9GVLGwzDSI1mseEYhtEAmMIxDCM1TOEYhpEapnAMw0gNUziGYaRG\nYrXFjeZBRIruaoA/AIaBnW7/BFXdm4FMK4FzVfWdtPs2qsfc4kZFiMgNwLuq+sOSdsH7PI0EXli/\n/lPpx0gGm1IZVSMi/0ZEXhCRn+CtyJ4hIgO+4+eLyB1u+xAReUBEel2umvkB97tYRB4UkZUuV8t1\nIf0cKiLbRKTTHf+Cy8XznIj8LG5/RvrYlMqolWPwoogv863BCeJWvKUKa9wq9IeBjwecd4Jr3ws8\n65JPvevvB8Dl7EJEjgWuAf5YVXeJyNQK+zNSxBSOUSsvq+qzMc77U2B2UVEAU0SkQ1UHS85bqapv\nAohID95Si19G9HMKXsKpXQDF9wr6M1LEFI5RK7t92yOMTXEwybctxDMwlxoVi/u7S0/03TfIEBm3\nPyNFzIZj1A1nyH1TRI4SkTbgz3yHf4W3qhkAEZkbcpvTRKRTRCYDnwOeKtPtr4Dzi1Mp35Qqbn9G\nipjCMerNNXhToMcZm9nvcmCBM+7+Frgk5Pr/h5fHtw+4V1XXRXWmqs/j5UJ+0mX4W1phf0aKmFvc\nyA0icjHwcVW9MmtZjGSwEY5hGKlhIxzDMFLDRjiGYaSGKRzDMFLDFI5hGKlhCscwjNQwhWMYRmr8\nf6140h1uZeOsAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fff015beb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(4, 3))\n",
    "plt.scatter(model.predict(X_test), y_test)\n",
    "plt.axis('tight')\n",
    "plt.xlabel('True price')\n",
    "plt.ylabel('Predicted price')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the value of default measurement of linearRegression on test is  0.859384510006\n",
      "the value of default measurement of linearRegression on test is  0.912170117052\n",
      "the RMSE on train is: 0.296361068544\n",
      "the RMSE on test is: 0.38251032056\n"
     ]
    }
   ],
   "source": [
    "# coding=utf-8\n",
    "# 数据标准化\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "# 分别初始化对特征和目标值的标准化器\n",
    "ss_X = StandardScaler()\n",
    "ss_y = StandardScaler()\n",
    "\n",
    "# 分别对训练和测试数据的特征以及目标值进行标准化处理\n",
    "X_train_std = ss_X.fit_transform(X_train)\n",
    "X_test_std = ss_X.transform(X_test)\n",
    "\n",
    "y_train_std = ss_y.fit_transform(y_train.values.reshape(-1, 1))\n",
    "y_test_std = ss_y.transform(y_test.values.reshape(-1, 1))\n",
    "\n",
    "model = lr.fit(X_train_std, y_train_std)\n",
    "print('the value of default measurement of linearRegression on test is ', model.score(X_test_std, y_test_std))\n",
    "print('the value of default measurement of linearRegression on test is ', model.score(X_train_std, y_train_std))\n",
    "print('the RMSE on train is:',np.sqrt(mean_squared_error(y_train_std, model.predict(X_train_std))))\n",
    "print('the RMSE on test is:',np.sqrt(mean_squared_error(y_test_std, model.predict(X_test_std))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 不是说做数据标准化处理之后，预测效果会提升吗？为什么这里的效果没什么提升，反而有一点下降？"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 尝试用其他模型，比如岭回归和lasso回归\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RidgeCV(alphas=[0.01, 0.1, 1, 10, 20, 40, 80, 100], cv=None,\n",
       "    fit_intercept=True, gcv_mode=None, normalize=False, scoring=None,\n",
       "    store_cv_values=True)"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# coding=utf-8\n",
    "# 岭回归／L2正则\n",
    "# class sklearn.linear_model.RidgeCV(alphas=(0.1, 1.0, 10.0), fit_intercept=True, \n",
    "#                                  normalize=False, scoring=None, cv=None, gcv_mode=None, \n",
    "#                                  store_cv_values=False)\n",
    "from sklearn.linear_model import  RidgeCV\n",
    "\n",
    "alphas = [0.01, 0.1, 1, 10,20, 40, 80,100]\n",
    "rcv = RidgeCV(alphas=alphas, store_cv_values=True)   \n",
    "rcv.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10.0"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rcv.alpha_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "拟合模型之后，alpha参数就是最优参数。这里10是最优参数，我们还可以继续精确下去，看看10附近的更加精确的值\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RidgeCV(alphas=array([  5.     ,   5.20408,   5.40816,   5.61224,   5.81633,   6.02041,\n",
       "         6.22449,   6.42857,   6.63265,   6.83673,   7.04082,   7.2449 ,\n",
       "         7.44898,   7.65306,   7.85714,   8.06122,   8.26531,   8.46939,\n",
       "         8.67347,   8.87755,   9.08163,   9.28571,   9.4898 ,   9.69388,\n",
       " ...      13.57143,  13.77551,  13.97959,  14.18367,  14.38776,  14.59184,\n",
       "        14.79592,  15.     ]),\n",
       "    cv=None, fit_intercept=True, gcv_mode=None, normalize=False,\n",
       "    scoring=None, store_cv_values=True)"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alphas_to_test = np.linspace(5, 15)\n",
    "rcv2 = RidgeCV(alphas=alphas_to_test, store_cv_values=True)\n",
    "rcv2.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7.0408163265306118"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rcv2.alpha_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7.0204081632653059"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alphas_to_test = np.linspace(6, 8)\n",
    "rcv3 = RidgeCV(alphas=alphas_to_test, store_cv_values=True)\n",
    "rcv3.fit(X_train, y_train)\n",
    "rcv3.alpha_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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+gppMjkmXtklcnpnK8ws2sWVPsddxRMQDW/cWM21uDhed0IlBaS29jhNSAi29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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fff18e8da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "alpha is: 7.02040816327\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([ -4.79935659e-04,   2.20400943e-06,   7.18259789e-02,\n",
       "         5.06338231e-02,   2.97125539e-03,   1.17002330e-03,\n",
       "         1.34583142e-05,   9.14074148e-05,   1.61510127e-05,\n",
       "         3.79076107e-06,   1.11349189e-04,   8.89898874e-05,\n",
       "         8.85604584e-05,  -1.92583994e-05,   1.58291946e-04,\n",
       "         2.85141093e-02,  -1.21971639e-02,   1.21557578e-02,\n",
       "         1.25686885e-02,  -1.98739891e-02,  -6.17592856e-02,\n",
       "         1.70927941e-02,   3.69385904e-02,   5.88138964e-02,\n",
       "         6.50868457e-05,   1.24638873e-04,   1.43991013e-04,\n",
       "         1.37478044e-04,   2.76502155e-04,   1.29455604e-04,\n",
       "        -2.13353022e-05,   5.70433775e-05,  -4.70178636e-03])"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mse_mean = np.mean(rcv3.cv_values_, axis=0)\n",
    "f, ax = plt.subplots(figsize=(7, 5))\n",
    "ax.set_title(r\"Various values of $\\alpha$\")\n",
    "plt.plot(alphas_to_test, mse_mean.reshape(50, 1)) \n",
    "#plt.plot(rcv3.alpha_*np.ones(5), [0.01,0.012,0.015, 0.018, 0.02])\n",
    "plt.xlabel('alpha')\n",
    "plt.ylabel('mse')\n",
    "plt.show()\n",
    "\n",
    "print ('alpha is:', rcv3.alpha_)\n",
    "rcv3.coef_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The value of default measurement of RidgeRegression is 0.859857469732\n",
      "The value of default mearurement of RidgeRegression is 0.912126553236\n",
      "the RMSE on train is: 0.116383025606\n",
      "the RMSE on test is: 0.149924415679\n"
     ]
    }
   ],
   "source": [
    "# 使用LinearRegression模型自带的评估模块（r2_score），并输出评估结果\n",
    "print('The value of default measurement of RidgeRegression is', rcv3.score(X_test, y_test))\n",
    "print('The value of default mearurement of RidgeRegression is', rcv3.score(X_train, y_train))\n",
    "print('the RMSE on train is:',np.sqrt(mean_squared_error(y_train, rcv3.predict(X_train))))\n",
    "print('the RMSE on test is:',np.sqrt(mean_squared_error(y_test, rcv3.predict(X_test))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "这里得到了最好的alpha参数是7.0204，用这个模型来评估前面的数据，发现有一小点点的提升效果,test测试集上的RMSE下降了。\n",
    "\n",
    "### 接下来使用lasso回归来测试一下"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.\n",
      "  ConvergenceWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "LassoCV(alphas=[0.0001, 0.001, 0.01, 0.1, 1], copy_X=True, cv=None, eps=0.001,\n",
       "    fit_intercept=True, max_iter=1000, n_alphas=100, n_jobs=1,\n",
       "    normalize=False, positive=False, precompute='auto', random_state=None,\n",
       "    selection='cyclic', tol=0.0001, verbose=False)"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#### Lasso／L1正则\n",
    "# class sklearn.linear_model.LassoCV(eps=0.001, n_alphas=100, alphas=None, fit_intercept=True, \n",
    "#                                    normalize=False, precompute=’auto’, max_iter=1000, \n",
    "#                                    tol=0.0001, copy_X=True, cv=None, verbose=False, n_jobs=1,\n",
    "#                                    positive=False, random_state=None, selection=’cyclic’)\n",
    "from sklearn.linear_model import LassoCV\n",
    "\n",
    "alphas = [0.0001, 0.001, 0.01, 0.1, 1]\n",
    "\n",
    "lasso = LassoCV(alphas=alphas)   \n",
    "lasso.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0001"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lasso.alpha_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ -4.61142823e-04,   2.19638305e-06,   7.18624949e-02,\n",
       "         5.06862147e-02,   2.95371884e-03,   1.14564417e-03,\n",
       "         1.25906213e-05,   1.52390693e-04,   7.72848700e-05,\n",
       "         6.55919876e-05,   4.80044349e-05,   2.10336444e-04,\n",
       "         2.07313400e-04,   9.78630128e-05,   3.77488530e-05,\n",
       "         2.93338373e-02,  -1.17157003e-02,   1.25407564e-02,\n",
       "         1.21121738e-02,  -1.97317427e-02,  -7.17339185e-02,\n",
       "         1.76562615e-02,   3.68187228e-02,   6.00000695e-02,\n",
       "         6.38967664e-05,   1.24296984e-04,   1.42993270e-04,\n",
       "         1.36247948e-04,   2.74069516e-04,   1.28561285e-04,\n",
       "        -2.05549862e-05,   5.59608392e-05,  -4.60287778e-03])"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lasso.coef_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LassoCV(alphas=[1e-06, 1e-05, 0.0001, 0.001, 0.001], copy_X=True, cv=None,\n",
       "    eps=0.001, fit_intercept=True, max_iter=1000, n_alphas=100, n_jobs=1,\n",
       "    normalize=False, positive=False, precompute='auto', random_state=None,\n",
       "    selection='cyclic', tol=0.0001, verbose=False)"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alphas = [0.000001, 0.00001, 0.0001, 0.001, 0.001]\n",
    "\n",
    "lasso = LassoCV(alphas=alphas)   \n",
    "lasso.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0001"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lasso.alpha_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "所以lasso回归的超参数最优值是0.0001"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The value of default measurement of Lasso Regression on test is 0.859628986799\n",
      "The value of default measurement of Lasso Regression on train is 0.91216385488\n",
      "the RMSE on train is: 0.116358321107\n",
      "the RMSE on test is: 0.150046581375\n"
     ]
    }
   ],
   "source": [
    "# 使用LinearRegression模型自带的评估模块（r2_score），并输出评估结果\n",
    "print('The value of default measurement of Lasso Regression on test is', lasso.score(X_test, y_test))\n",
    "print('The value of default measurement of Lasso Regression on train is', lasso.score(X_train, y_train))\n",
    "print('the RMSE on train is:',np.sqrt(mean_squared_error(y_train, lasso.predict(X_train))))\n",
    "print('the RMSE on test is:',np.sqrt(mean_squared_error(y_test, lasso.predict(X_test))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 综上，感觉用岭回归模型达到了最好\n",
    "\n",
    "\n",
    "## 现在开始对测试集进行预测\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "submission = pd.DataFrame()\n",
    "test = pd.read_csv(os.path.join(dpath, 'Ames_House_test.csv'))\n",
    "submission['Id'] = test.Id"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1459, 80)"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LotFrontage     227\n",
       "GarageYrBlt      78\n",
       "MasVnrArea       15\n",
       "BsmtHalfBath      2\n",
       "BsmtFullBath      2\n",
       "GarageArea        1\n",
       "BsmtFinSF1        1\n",
       "BsmtFinSF2        1\n",
       "BsmtUnfSF         1\n",
       "TotalBsmtSF       1\n",
       "GarageCars        1\n",
       "OverallQual       0\n",
       "OverallCond       0\n",
       "YearBuilt         0\n",
       "YearRemodAdd      0\n",
       "LowQualFinSF      0\n",
       "LotArea           0\n",
       "MSSubClass        0\n",
       "1stFlrSF          0\n",
       "2ndFlrSF          0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_feature = test.select_dtypes(include=[np.number])\n",
    "num_feature.isnull().sum().sort_values(ascending=False)[:20]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们采用跟前面训练集一样的处理方式，将缺失值太多的特征去掉，以及相关性比较的两列特征也去掉。其他的进行线性填充。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n",
      "C:\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
     ]
    }
   ],
   "source": [
    "# coding=utf-8 \n",
    "num_feature.dropna(axis=1, thresh=1300, inplace=True)  # 舍弃掉样本数中非缺失值小于1300个的特征，因为缺失值太多不便于填充\n",
    "num_feature.drop(['GarageArea', 'Id', 'GarageYrBlt'],axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1459, 33)"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_feature.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "YrSold          0\n",
       "BsmtFullBath    0\n",
       "LotArea         0\n",
       "OverallQual     0\n",
       "OverallCond     0\n",
       "YearBuilt       0\n",
       "YearRemodAdd    0\n",
       "MasVnrArea      0\n",
       "BsmtFinSF1      0\n",
       "BsmtFinSF2      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_data = num_feature.interpolate()\n",
    "test_data.isnull().sum().sort_values(ascending=False)[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1459, 33)"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1086, 33)"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "prediction = rcv3.predict(test_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1459,)"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prediction.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 11.67890103,  11.6730825 ,  12.07023391,  12.19162835,\n",
       "        12.10901664,  12.05489986,  12.16091569,  12.01573373,\n",
       "        12.16683687,  11.65522244])"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prediction[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "true_saleprice = np.exp(prediction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 118054.42545426,  117369.51638708,  174596.68010989,\n",
       "        197131.90378996,  181501.03558785,  171939.82890037,\n",
       "        191169.4891651 ,  165335.78265764,  192304.7957832 ,\n",
       "        115291.89876908])"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "true_saleprice[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "submission['SalePrice'] = true_saleprice"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1461</td>\n",
       "      <td>118054.425454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1462</td>\n",
       "      <td>117369.516387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1463</td>\n",
       "      <td>174596.680110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1464</td>\n",
       "      <td>197131.903790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1465</td>\n",
       "      <td>181501.035588</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Id      SalePrice\n",
       "0  1461  118054.425454\n",
       "1  1462  117369.516387\n",
       "2  1463  174596.680110\n",
       "3  1464  197131.903790\n",
       "4  1465  181501.035588"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "submission.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "submission.to_csv('submission1.csv',index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 第一阶段到的数据分析以及预测到此告一段落，但是这部分没有对非数值的特征进行编码以及其他分析。下一阶段继续。"
   ]
  }
 ],
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